René's URL Explorer Experiment


Title: GitHub - Super-Tree/Paper-Collection · GitHub

Open Graph Title: GitHub - Super-Tree/Paper-Collection

X Title: GitHub - Super-Tree/Paper-Collection

Description: Contribute to Super-Tree/Paper-Collection development by creating an account on GitHub.

Open Graph Description: Contribute to Super-Tree/Paper-Collection development by creating an account on GitHub.

X Description: Contribute to Super-Tree/Paper-Collection development by creating an account on GitHub.

Opengraph URL: https://github.com/Super-Tree/Paper-Collection

X: @github

direct link

Domain: github.com

route-pattern/:user_id/:repository
route-controllerfiles
route-actiondisambiguate
fetch-noncev2:72d6663f-232b-925f-87b2-076496be6bb3
current-catalog-service-hashf3abb0cc802f3d7b95fc8762b94bdcb13bf39634c40c357301c4aa1d67a256fb
request-idD148:1A73A4:25CC84B:352ADD6:6A5F647E
html-safe-nonceedeaa7d68a835c108322f13a71dd1a97b0de3ee2ac820c52d051315d3365d3bc
visitor-payloadeyJyZWZlcnJlciI6IiIsInJlcXVlc3RfaWQiOiJEMTQ4OjFBNzNBNDoyNUNDODRCOjM1MkFERDY6NkE1RjY0N0UiLCJ2aXNpdG9yX2lkIjoiNjcxNjgwNTk3OTExNTA1NDIwNiIsInJlZ2lvbl9lZGdlIjoiaWFkIiwicmVnaW9uX3JlbmRlciI6ImlhZCJ9
visitor-hmac351d66acb0de6a5481174f3296fdbe56b7a1fcb5f765cbb2d9305a8a346bd1e0
hovercard-subject-tagrepository:120595829
github-keyboard-shortcutsrepository,copilot
google-site-verificationApib7-x98H0j5cPqHWwSMm6dNU4GmODRoqxLiDzdx9I
octolytics-urlhttps://collector.github.com/github/collect
analytics-location//
fb:app_id1401488693436528
apple-itunes-appapp-id=1477376905, app-argument=https://github.com/Super-Tree/Paper-Collection
twitter:imagehttps://opengraph.githubassets.com/f818a342068ab8cf1586df18eaa434a6ea4f21e5d285543bdab9d14320d1ff0f/Super-Tree/Paper-Collection
twitter:cardsummary_large_image
og:imagehttps://opengraph.githubassets.com/f818a342068ab8cf1586df18eaa434a6ea4f21e5d285543bdab9d14320d1ff0f/Super-Tree/Paper-Collection
og:image:altContribute to Super-Tree/Paper-Collection development by creating an account on GitHub.
og:image:width1200
og:image:height600
og:site_nameGitHub
og:typeobject
hostnamegithub.com
expected-hostnamegithub.com
Noneab2497d9345a59709926b385d88458fa5932c82ec066288448eb68b34cbcbbda
turbo-cache-controlno-cache
go-importgithub.com/Super-Tree/Paper-Collection git https://github.com/Super-Tree/Paper-Collection.git
octolytics-dimension-user_id24618712
octolytics-dimension-user_loginSuper-Tree
octolytics-dimension-repository_id120595829
octolytics-dimension-repository_nwoSuper-Tree/Paper-Collection
octolytics-dimension-repository_publictrue
octolytics-dimension-repository_is_forkfalse
octolytics-dimension-repository_network_root_id120595829
octolytics-dimension-repository_network_root_nwoSuper-Tree/Paper-Collection
turbo-body-classeslogged-out env-production page-responsive
disable-turbofalse
browser-stats-urlhttps://api.github.com/_private/browser/stats
browser-errors-urlhttps://api.github.com/_private/browser/errors
releaseba0ac57287507693938b0a2de45402a22cda0785
ui-targetfull
theme-color#1e2327
color-schemelight dark

Links:

Skip to contenthttps://github.com/Super-Tree/Paper-Collection#start-of-content
https://github.com/
Sign in https://github.com/login?return_to=https%3A%2F%2Fgithub.com%2FSuper-Tree%2FPaper-Collection
GitHub CopilotWrite better code with AIhttps://github.com/features/copilot
GitHub Copilot appDirect agents from issue to mergehttps://github.com/features/ai/github-app
MCP RegistryNewIntegrate external toolshttps://github.com/mcp
ActionsAutomate any workflowhttps://github.com/features/actions
CodespacesInstant dev environmentshttps://github.com/features/codespaces
IssuesPlan and track workhttps://github.com/features/issues
Code ReviewManage code changeshttps://github.com/features/code-review
Code QualityEnforce quality at mergehttps://github.com/features/code-quality
GitHub Advanced SecurityFind and fix vulnerabilitieshttps://github.com/security/advanced-security
Code securitySecure your code as you buildhttps://github.com/security/advanced-security/code-security
Secret protectionStop leaks before they starthttps://github.com/security/advanced-security/secret-protection
Why GitHubhttps://github.com/why-github
Documentationhttps://docs.github.com
Bloghttps://github.blog
Changeloghttps://github.blog/changelog
Marketplacehttps://github.com/marketplace
View all featureshttps://github.com/features
Enterpriseshttps://github.com/enterprise
Small and medium teamshttps://github.com/team
Startupshttps://github.com/enterprise/startups
Nonprofitshttps://github.com/solutions/industry/nonprofits
App Modernizationhttps://github.com/solutions/use-case/app-modernization
DevSecOpshttps://github.com/solutions/use-case/devsecops
DevOpshttps://github.com/solutions/use-case/devops
CI/CDhttps://github.com/solutions/use-case/ci-cd
View all use caseshttps://github.com/solutions/use-case
Healthcarehttps://github.com/solutions/industry/healthcare
Financial serviceshttps://github.com/solutions/industry/financial-services
Manufacturinghttps://github.com/solutions/industry/manufacturing
Governmenthttps://github.com/solutions/industry/government
View all industrieshttps://github.com/solutions/industry
View all solutionshttps://github.com/solutions
AIhttps://github.com/resources/articles?topic=ai
Software Developmenthttps://github.com/resources/articles?topic=software-development
DevOpshttps://github.com/resources/articles?topic=devops
Securityhttps://github.com/resources/articles?topic=security
View all topicshttps://github.com/resources/articles
Customer storieshttps://github.com/customer-stories
Events & webinarshttps://github.com/resources/events
Ebooks & reportshttps://github.com/resources/whitepapers
Business insightshttps://github.com/solutions/executive-insights
GitHub Skillshttps://skills.github.com
Documentationhttps://docs.github.com
Customer supporthttps://support.github.com
Community forumhttps://github.com/orgs/community/discussions
Trust centerhttps://github.com/trust-center
Partnershttps://github.com/partners
View all resourceshttps://github.com/resources
GitHub SponsorsFund open source developershttps://github.com/open-source/sponsors
Security Labhttps://securitylab.github.com
Maintainer Communityhttps://maintainers.github.com
Acceleratorhttps://github.com/open-source/accelerator
GitHub Starshttps://stars.github.com
Archive Programhttps://archiveprogram.github.com
Topicshttps://github.com/topics
Trendinghttps://github.com/trending
Collectionshttps://github.com/collections
Enterprise platformAI-powered developer platformhttps://github.com/enterprise
GitHub Advanced SecurityEnterprise-grade security featureshttps://github.com/security/advanced-security
Copilot for BusinessEnterprise-grade AI featureshttps://github.com/features/copilot/copilot-business
Premium SupportEnterprise-grade 24/7 supporthttps://github.com/enterprise/premium-support
Pricinghttps://github.com/pricing
Search syntax tipshttps://docs.github.com/search-github/github-code-search/understanding-github-code-search-syntax
documentationhttps://docs.github.com/search-github/github-code-search/understanding-github-code-search-syntax
Sign in https://github.com/login?return_to=https%3A%2F%2Fgithub.com%2FSuper-Tree%2FPaper-Collection
Sign up https://github.com/signup?ref_cta=Sign+up&ref_loc=header+logged+out&ref_page=%2F%3Cuser-name%3E%2F%3Crepo-name%3E&source=header-repo&source_repo=Super-Tree%2FPaper-Collection
Reloadhttps://github.com/Super-Tree/Paper-Collection
Reloadhttps://github.com/Super-Tree/Paper-Collection
Reloadhttps://github.com/Super-Tree/Paper-Collection
Super-Tree https://github.com/Super-Tree
Paper-Collectionhttps://github.com/Super-Tree/Paper-Collection
Notifications https://github.com/login?return_to=%2FSuper-Tree%2FPaper-Collection
Fork 1 https://github.com/login?return_to=%2FSuper-Tree%2FPaper-Collection
Star 8 https://github.com/login?return_to=%2FSuper-Tree%2FPaper-Collection
Code https://github.com/Super-Tree/Paper-Collection
Issues 0 https://github.com/Super-Tree/Paper-Collection/issues
Pull requests 0 https://github.com/Super-Tree/Paper-Collection/pulls
Actions https://github.com/Super-Tree/Paper-Collection/actions
Projects https://github.com/Super-Tree/Paper-Collection/projects
Security and quality 0 https://github.com/Super-Tree/Paper-Collection/security
Insights https://github.com/Super-Tree/Paper-Collection/pulse
Code https://github.com/Super-Tree/Paper-Collection
Issues https://github.com/Super-Tree/Paper-Collection/issues
Pull requests https://github.com/Super-Tree/Paper-Collection/pulls
Actions https://github.com/Super-Tree/Paper-Collection/actions
Projects https://github.com/Super-Tree/Paper-Collection/projects
Security and quality https://github.com/Super-Tree/Paper-Collection/security
Insights https://github.com/Super-Tree/Paper-Collection/pulse
https://github.com/Super-Tree/Paper-Collection
Brancheshttps://github.com/Super-Tree/Paper-Collection/branches
Tagshttps://github.com/Super-Tree/Paper-Collection/tags
https://github.com/Super-Tree/Paper-Collection/branches
https://github.com/Super-Tree/Paper-Collection/tags
27 Commitshttps://github.com/Super-Tree/Paper-Collection/commits/master/
https://github.com/Super-Tree/Paper-Collection/commits/master/
.ideahttps://github.com/Super-Tree/Paper-Collection/tree/master/.idea
.ideahttps://github.com/Super-Tree/Paper-Collection/tree/master/.idea
2D-Detectionhttps://github.com/Super-Tree/Paper-Collection/tree/master/2D-Detection
2D-Detectionhttps://github.com/Super-Tree/Paper-Collection/tree/master/2D-Detection
2d-3d-detection-newhttps://github.com/Super-Tree/Paper-Collection/tree/master/2d-3d-detection-new
2d-3d-detection-newhttps://github.com/Super-Tree/Paper-Collection/tree/master/2d-3d-detection-new
3D-cnnhttps://github.com/Super-Tree/Paper-Collection/tree/master/3D-cnn
3D-cnnhttps://github.com/Super-Tree/Paper-Collection/tree/master/3D-cnn
3D-perceptionhttps://github.com/Super-Tree/Paper-Collection/tree/master/3D-perception
3D-perceptionhttps://github.com/Super-Tree/Paper-Collection/tree/master/3D-perception
3D-shapehttps://github.com/Super-Tree/Paper-Collection/tree/master/3D-shape
3D-shapehttps://github.com/Super-Tree/Paper-Collection/tree/master/3D-shape
CPP-RLhttps://github.com/Super-Tree/Paper-Collection/tree/master/CPP-RL
CPP-RLhttps://github.com/Super-Tree/Paper-Collection/tree/master/CPP-RL
DL-net&trickshttps://github.com/Super-Tree/Paper-Collection/tree/master/DL-net%26tricks
DL-net&trickshttps://github.com/Super-Tree/Paper-Collection/tree/master/DL-net%26tricks
FasterRCNN-serieshttps://github.com/Super-Tree/Paper-Collection/tree/master/FasterRCNN-series
FasterRCNN-serieshttps://github.com/Super-Tree/Paper-Collection/tree/master/FasterRCNN-series
IOU-Dethttps://github.com/Super-Tree/Paper-Collection/tree/master/IOU-Det
IOU-Dethttps://github.com/Super-Tree/Paper-Collection/tree/master/IOU-Det
KITTI-3D-Perception-TopRankhttps://github.com/Super-Tree/Paper-Collection/tree/master/KITTI-3D-Perception-TopRank
KITTI-3D-Perception-TopRankhttps://github.com/Super-Tree/Paper-Collection/tree/master/KITTI-3D-Perception-TopRank
ModelNetBenchMark-3D_Classfiyhttps://github.com/Super-Tree/Paper-Collection/tree/master/ModelNetBenchMark-3D_Classfiy
ModelNetBenchMark-3D_Classfiyhttps://github.com/Super-Tree/Paper-Collection/tree/master/ModelNetBenchMark-3D_Classfiy
PC-CVPR2019https://github.com/Super-Tree/Paper-Collection/tree/master/PC-CVPR2019
PC-CVPR2019https://github.com/Super-Tree/Paper-Collection/tree/master/PC-CVPR2019
binary-convolutionhttps://github.com/Super-Tree/Paper-Collection/tree/master/binary-convolution
binary-convolutionhttps://github.com/Super-Tree/Paper-Collection/tree/master/binary-convolution
lidar-imagehttps://github.com/Super-Tree/Paper-Collection/tree/master/lidar-image
lidar-imagehttps://github.com/Super-Tree/Paper-Collection/tree/master/lidar-image
pc_deeplearninghttps://github.com/Super-Tree/Paper-Collection/tree/master/pc_deeplearning
pc_deeplearninghttps://github.com/Super-Tree/Paper-Collection/tree/master/pc_deeplearning
receptiveFiledhttps://github.com/Super-Tree/Paper-Collection/tree/master/receptiveFiled
receptiveFiledhttps://github.com/Super-Tree/Paper-Collection/tree/master/receptiveFiled
semantic-segmentation-for-detectionhttps://github.com/Super-Tree/Paper-Collection/tree/master/semantic-segmentation-for-detection
semantic-segmentation-for-detectionhttps://github.com/Super-Tree/Paper-Collection/tree/master/semantic-segmentation-for-detection
uncertaintyhttps://github.com/Super-Tree/Paper-Collection/tree/master/uncertainty
uncertaintyhttps://github.com/Super-Tree/Paper-Collection/tree/master/uncertainty
+++PointRCNN: 3D Object Proposal Generation and Detection from Point Cloud.pdfhttps://github.com/Super-Tree/Paper-Collection/blob/master/%2B%2B%2BPointRCNN%3A%203D%20Object%20Proposal%20Generation%20and%20Detection%20from%20Point%20Cloud.pdf
+++PointRCNN: 3D Object Proposal Generation and Detection from Point Cloud.pdfhttps://github.com/Super-Tree/Paper-Collection/blob/master/%2B%2B%2BPointRCNN%3A%203D%20Object%20Proposal%20Generation%20and%20Detection%20from%20Point%20Cloud.pdf
+++STD Sparse-to-Dense 3D Object Detector for Point Cloud.pdfhttps://github.com/Super-Tree/Paper-Collection/blob/master/%2B%2B%2BSTD%20Sparse-to-Dense%203D%20Object%20Detector%20for%20Point%20Cloud.pdf
+++STD Sparse-to-Dense 3D Object Detector for Point Cloud.pdfhttps://github.com/Super-Tree/Paper-Collection/blob/master/%2B%2B%2BSTD%20Sparse-to-Dense%203D%20Object%20Detector%20for%20Point%20Cloud.pdf
++DF-PC-CNN.pdfhttps://github.com/Super-Tree/Paper-Collection/blob/master/%2B%2BDF-PC-CNN.pdf
++DF-PC-CNN.pdfhttps://github.com/Super-Tree/Paper-Collection/blob/master/%2B%2BDF-PC-CNN.pdf
++Deep Hough Voting for 3D Object Detection in Point Cloudshttps://github.com/Super-Tree/Paper-Collection/blob/master/%2B%2BDeep%20Hough%20Voting%20for%203D%20Object%20Detection%20in%20Point%20Clouds
++Deep Hough Voting for 3D Object Detection in Point Cloudshttps://github.com/Super-Tree/Paper-Collection/blob/master/%2B%2BDeep%20Hough%20Voting%20for%203D%20Object%20Detection%20in%20Point%20Clouds
++End-to-End Multi-View Fusion for 3D Object Detection in LiDAR Point Clouds.pdfhttps://github.com/Super-Tree/Paper-Collection/blob/master/%2B%2BEnd-to-End%20Multi-View%20Fusion%20for%203D%20Object%0ADetection%20in%20LiDAR%20Point%20Clouds.pdf
++End-to-End Multi-View Fusion for 3D Object Detection in LiDAR Point Clouds.pdfhttps://github.com/Super-Tree/Paper-Collection/blob/master/%2B%2BEnd-to-End%20Multi-View%20Fusion%20for%203D%20Object%0ADetection%20in%20LiDAR%20Point%20Clouds.pdf
++Fast Point R-CNN.pdfhttps://github.com/Super-Tree/Paper-Collection/blob/master/%2B%2BFast%20Point%20R-CNN.pdf
++Fast Point R-CNN.pdfhttps://github.com/Super-Tree/Paper-Collection/blob/master/%2B%2BFast%20Point%20R-CNN.pdf
++GSPN.pdfhttps://github.com/Super-Tree/Paper-Collection/blob/master/%2B%2BGSPN.pdf
++GSPN.pdfhttps://github.com/Super-Tree/Paper-Collection/blob/master/%2B%2BGSPN.pdf
++Kundu_3D-RCNN_Instance-Level_3D_CVPR_2018_paper.pdfhttps://github.com/Super-Tree/Paper-Collection/blob/master/%2B%2BKundu_3D-RCNN_Instance-Level_3D_CVPR_2018_paper.pdf
++Kundu_3D-RCNN_Instance-Level_3D_CVPR_2018_paper.pdfhttps://github.com/Super-Tree/Paper-Collection/blob/master/%2B%2BKundu_3D-RCNN_Instance-Level_3D_CVPR_2018_paper.pdf
++Luo_Fast_and_Furious_CVPR_2018_paper.pdfhttps://github.com/Super-Tree/Paper-Collection/blob/master/%2B%2BLuo_Fast_and_Furious_CVPR_2018_paper.pdf
++Luo_Fast_and_Furious_CVPR_2018_paper.pdfhttps://github.com/Super-Tree/Paper-Collection/blob/master/%2B%2BLuo_Fast_and_Furious_CVPR_2018_paper.pdf
++Making Convolutional Networks Shift-Invariant Again.pdfhttps://github.com/Super-Tree/Paper-Collection/blob/master/%2B%2BMaking%20Convolutional%20Networks%20Shift-Invariant%20Again.pdf
++Making Convolutional Networks Shift-Invariant Again.pdfhttps://github.com/Super-Tree/Paper-Collection/blob/master/%2B%2BMaking%20Convolutional%20Networks%20Shift-Invariant%20Again.pdf
++PIXOR_Real-Time_3D_CVPR_2018_paper.pdfhttps://github.com/Super-Tree/Paper-Collection/blob/master/%2B%2BPIXOR_Real-Time_3D_CVPR_2018_paper.pdf
++PIXOR_Real-Time_3D_CVPR_2018_paper.pdfhttps://github.com/Super-Tree/Paper-Collection/blob/master/%2B%2BPIXOR_Real-Time_3D_CVPR_2018_paper.pdf
++ShuffleNet V2: Practical Guidelines for Efficient.pdfhttps://github.com/Super-Tree/Paper-Collection/blob/master/%2B%2BShuffleNet%20V2%3A%20Practical%20Guidelines%20for%20Efficient.pdf
++ShuffleNet V2: Practical Guidelines for Efficient.pdfhttps://github.com/Super-Tree/Paper-Collection/blob/master/%2B%2BShuffleNet%20V2%3A%20Practical%20Guidelines%20for%20Efficient.pdf
++centernet.pdfhttps://github.com/Super-Tree/Paper-Collection/blob/master/%2B%2Bcenternet.pdf
++centernet.pdfhttps://github.com/Super-Tree/Paper-Collection/blob/master/%2B%2Bcenternet.pdf
++traning_binary_network.pdfhttps://github.com/Super-Tree/Paper-Collection/blob/master/%2B%2Btraning_binary_network.pdf
++traning_binary_network.pdfhttps://github.com/Super-Tree/Paper-Collection/blob/master/%2B%2Btraning_binary_network.pdf
+AlignDet.pdfhttps://github.com/Super-Tree/Paper-Collection/blob/master/%2BAlignDet.pdf
+AlignDet.pdfhttps://github.com/Super-Tree/Paper-Collection/blob/master/%2BAlignDet.pdf
+FrustumConvNet.pdfhttps://github.com/Super-Tree/Paper-Collection/blob/master/%2BFrustumConvNet.pdf
+FrustumConvNet.pdfhttps://github.com/Super-Tree/Paper-Collection/blob/master/%2BFrustumConvNet.pdf
+KITTI_DATASET.pdfhttps://github.com/Super-Tree/Paper-Collection/blob/master/%2BKITTI_DATASET.pdf
+KITTI_DATASET.pdfhttps://github.com/Super-Tree/Paper-Collection/blob/master/%2BKITTI_DATASET.pdf
+KPConv: Flexible and Deformable Convolution for Point Clouds.pdfhttps://github.com/Super-Tree/Paper-Collection/blob/master/%2BKPConv%3A%20Flexible%20and%20Deformable%20Convolution%20for%20Point%20Clouds.pdf
+KPConv: Flexible and Deformable Convolution for Point Clouds.pdfhttps://github.com/Super-Tree/Paper-Collection/blob/master/%2BKPConv%3A%20Flexible%20and%20Deformable%20Convolution%20for%20Point%20Clouds.pdf
+Libra R-CNN: Towards Balanced Learning for Object Detection.pdfhttps://github.com/Super-Tree/Paper-Collection/blob/master/%2BLibra%20R-CNN%3A%20Towards%20Balanced%20Learning%20for%20Object%20Detection.pdf
+Libra R-CNN: Towards Balanced Learning for Object Detection.pdfhttps://github.com/Super-Tree/Paper-Collection/blob/master/%2BLibra%20R-CNN%3A%20Towards%20Balanced%20Learning%20for%20Object%20Detection.pdf
+PIXOR= Real-time 3D Object Detection from Point Clouds_Yang.pdfhttps://github.com/Super-Tree/Paper-Collection/blob/master/%2BPIXOR%3D%20Real-time%203D%20Object%20Detection%20from%20Point%20Clouds_Yang.pdf
+PIXOR= Real-time 3D Object Detection from Point Clouds_Yang.pdfhttps://github.com/Super-Tree/Paper-Collection/blob/master/%2BPIXOR%3D%20Real-time%203D%20Object%20Detection%20from%20Point%20Clouds_Yang.pdf
+Patch+Refinement+-+Localized+3D+Object+Detection.pdfhttps://github.com/Super-Tree/Paper-Collection/blob/master/%2BPatch%2BRefinement%2B-%2BLocalized%2B3D%2BObject%2BDetection.pdf
+Patch+Refinement+-+Localized+3D+Object+Detection.pdfhttps://github.com/Super-Tree/Paper-Collection/blob/master/%2BPatch%2BRefinement%2B-%2BLocalized%2B3D%2BObject%2BDetection.pdf
+RGB and LiDAR fusion based 3D Semantic Segmentation.pdfhttps://github.com/Super-Tree/Paper-Collection/blob/master/%2BRGB%20and%20LiDAR%20fusion%20based%203D%20Semantic%20Segmentation.pdf
+RGB and LiDAR fusion based 3D Semantic Segmentation.pdfhttps://github.com/Super-Tree/Paper-Collection/blob/master/%2BRGB%20and%20LiDAR%20fusion%20based%203D%20Semantic%20Segmentation.pdf
+RangeNet++.pdfhttps://github.com/Super-Tree/Paper-Collection/blob/master/%2BRangeNet%2B%2B.pdf
+RangeNet++.pdfhttps://github.com/Super-Tree/Paper-Collection/blob/master/%2BRangeNet%2B%2B.pdf
+ScribbleSup= Scribble-Supervised Convolutional Networks for Semantic Segmentation.pdfhttps://github.com/Super-Tree/Paper-Collection/blob/master/%2BScribbleSup%3D%20Scribble-Supervised%20Convolutional%20Networks%0Afor%20Semantic%20Segmentation.pdf
+ScribbleSup= Scribble-Supervised Convolutional Networks for Semantic Segmentation.pdfhttps://github.com/Super-Tree/Paper-Collection/blob/master/%2BScribbleSup%3D%20Scribble-Supervised%20Convolutional%20Networks%0Afor%20Semantic%20Segmentation.pdf
+Stereo R-CNN based 3D Object Detection for Autonomous Driving.pdfhttps://github.com/Super-Tree/Paper-Collection/blob/master/%2BStereo%20R-CNN%20based%203D%20Object%20Detection%20for%20Autonomous%20Driving.pdf
+Stereo R-CNN based 3D Object Detection for Autonomous Driving.pdfhttps://github.com/Super-Tree/Paper-Collection/blob/master/%2BStereo%20R-CNN%20based%203D%20Object%20Detection%20for%20Autonomous%20Driving.pdf
+connerNet.pdfhttps://github.com/Super-Tree/Paper-Collection/blob/master/%2BconnerNet.pdf
+connerNet.pdfhttps://github.com/Super-Tree/Paper-Collection/blob/master/%2BconnerNet.pdf
+mobilenet.pdfhttps://github.com/Super-Tree/Paper-Collection/blob/master/%2Bmobilenet.pdf
+mobilenet.pdfhttps://github.com/Super-Tree/Paper-Collection/blob/master/%2Bmobilenet.pdf
+nuscenses-dataset.pdfhttps://github.com/Super-Tree/Paper-Collection/blob/master/%2Bnuscenses-dataset.pdf
+nuscenses-dataset.pdfhttps://github.com/Super-Tree/Paper-Collection/blob/master/%2Bnuscenses-dataset.pdf
+spiderCnn.pdfhttps://github.com/Super-Tree/Paper-Collection/blob/master/%2BspiderCnn.pdf
+spiderCnn.pdfhttps://github.com/Super-Tree/Paper-Collection/blob/master/%2BspiderCnn.pdf
+感受野相关论文.pnghttps://github.com/Super-Tree/Paper-Collection/blob/master/%2B%E6%84%9F%E5%8F%97%E9%87%8E%E7%9B%B8%E5%85%B3%E8%AE%BA%E6%96%87.png
+感受野相关论文.pnghttps://github.com/Super-Tree/Paper-Collection/blob/master/%2B%E6%84%9F%E5%8F%97%E9%87%8E%E7%9B%B8%E5%85%B3%E8%AE%BA%E6%96%87.png
3DRCNN_CVPR18_slides.pdfhttps://github.com/Super-Tree/Paper-Collection/blob/master/3DRCNN_CVPR18_slides.pdf
3DRCNN_CVPR18_slides.pdfhttps://github.com/Super-Tree/Paper-Collection/blob/master/3DRCNN_CVPR18_slides.pdf
3DSSD.pdfhttps://github.com/Super-Tree/Paper-Collection/blob/master/3DSSD.pdf
3DSSD.pdfhttps://github.com/Super-Tree/Paper-Collection/blob/master/3DSSD.pdf
A Baseline for 3D Multi-Object Tracking.pdfhttps://github.com/Super-Tree/Paper-Collection/blob/master/A%20Baseline%20for%203D%20Multi-Object%20Tracking.pdf
A Baseline for 3D Multi-Object Tracking.pdfhttps://github.com/Super-Tree/Paper-Collection/blob/master/A%20Baseline%20for%203D%20Multi-Object%20Tracking.pdf
A General Pipeline for 3D Detection of Vehicles.pdfhttps://github.com/Super-Tree/Paper-Collection/blob/master/A%20General%20Pipeline%20for%203D%20Detection%20of%20Vehicles.pdf
A General Pipeline for 3D Detection of Vehicles.pdfhttps://github.com/Super-Tree/Paper-Collection/blob/master/A%20General%20Pipeline%20for%203D%20Detection%20of%20Vehicles.pdf
Bi-Real Net.pdfhttps://github.com/Super-Tree/Paper-Collection/blob/master/Bi-Real%20Net.pdf
Bi-Real Net.pdfhttps://github.com/Super-Tree/Paper-Collection/blob/master/Bi-Real%20Net.pdf
Deep Continuous Fusion for Multi-Sensor 3D Object Detection.pdfhttps://github.com/Super-Tree/Paper-Collection/blob/master/Deep%20Continuous%20Fusion%20for%20Multi-Sensor%203D%0AObject%20Detection.pdf
Deep Continuous Fusion for Multi-Sensor 3D Object Detection.pdfhttps://github.com/Super-Tree/Paper-Collection/blob/master/Deep%20Continuous%20Fusion%20for%20Multi-Sensor%203D%0AObject%20Detection.pdf
Deep Learning for Generic Object Detection= A Survey.pdfhttps://github.com/Super-Tree/Paper-Collection/blob/master/Deep%20Learning%20for%20Generic%20Object%20Detection%3D%20A%20Survey.pdf
Deep Learning for Generic Object Detection= A Survey.pdfhttps://github.com/Super-Tree/Paper-Collection/blob/master/Deep%20Learning%20for%20Generic%20Object%20Detection%3D%20A%20Survey.pdf
Deep+Hough+Voting+for+3D+Object+Detection+in+Point+Clouds.pdfhttps://github.com/Super-Tree/Paper-Collection/blob/master/Deep%2BHough%2BVoting%2Bfor%2B3D%2BObject%2BDetection%2Bin%2BPoint%2BClouds.pdf
Deep+Hough+Voting+for+3D+Object+Detection+in+Point+Clouds.pdfhttps://github.com/Super-Tree/Paper-Collection/blob/master/Deep%2BHough%2BVoting%2Bfor%2B3D%2BObject%2BDetection%2Bin%2BPoint%2BClouds.pdf
Deep_Parametric_Continuous_CVPR_2018_paper.pdfhttps://github.com/Super-Tree/Paper-Collection/blob/master/Deep_Parametric_Continuous_CVPR_2018_paper.pdf
Deep_Parametric_Continuous_CVPR_2018_paper.pdfhttps://github.com/Super-Tree/Paper-Collection/blob/master/Deep_Parametric_Continuous_CVPR_2018_paper.pdf
Dive Deeper Into Box for Object Detection.pdfhttps://github.com/Super-Tree/Paper-Collection/blob/master/Dive%20Deeper%20Into%20Box%20for%20Object%20Detection.pdf
Dive Deeper Into Box for Object Detection.pdfhttps://github.com/Super-Tree/Paper-Collection/blob/master/Dive%20Deeper%20Into%20Box%20for%20Object%20Detection.pdf
Focal Loss in 3D Object Detection.pdfhttps://github.com/Super-Tree/Paper-Collection/blob/master/Focal%20Loss%20in%203D%20Object%20Detection.pdf
Focal Loss in 3D Object Detection.pdfhttps://github.com/Super-Tree/Paper-Collection/blob/master/Focal%20Loss%20in%203D%20Object%20Detection.pdf
HDNET: Exploiting HD Maps for 3D Object.pdfhttps://github.com/Super-Tree/Paper-Collection/blob/master/HDNET%3A%20Exploiting%20HD%20Maps%20for%203D%20Object.pdf
HDNET: Exploiting HD Maps for 3D Object.pdfhttps://github.com/Super-Tree/Paper-Collection/blob/master/HDNET%3A%20Exploiting%20HD%20Maps%20for%203D%20Object.pdf
HistoryOfObjectRecognition.pdfhttps://github.com/Super-Tree/Paper-Collection/blob/master/HistoryOfObjectRecognition.pdf
HistoryOfObjectRecognition.pdfhttps://github.com/Super-Tree/Paper-Collection/blob/master/HistoryOfObjectRecognition.pdf
HyperNet.pdfhttps://github.com/Super-Tree/Paper-Collection/blob/master/HyperNet.pdf
HyperNet.pdfhttps://github.com/Super-Tree/Paper-Collection/blob/master/HyperNet.pdf
IPOD: Intensive Point-based Object Detector for Point Cloud.pdfhttps://github.com/Super-Tree/Paper-Collection/blob/master/IPOD%3A%20Intensive%20Point-based%20Object%20Detector%20for%20Point%20Cloud.pdf
IPOD: Intensive Point-based Object Detector for Point Cloud.pdfhttps://github.com/Super-Tree/Paper-Collection/blob/master/IPOD%3A%20Intensive%20Point-based%20Object%20Detector%20for%20Point%20Cloud.pdf
LiDAR point clouds correction acquired from a moving car based on CAN-bus data.pdfhttps://github.com/Super-Tree/Paper-Collection/blob/master/LiDAR%20point%20clouds%20correction%20acquired%20from%20a%20moving%20car%20based%20on%20CAN-bus%20data.pdf
LiDAR point clouds correction acquired from a moving car based on CAN-bus data.pdfhttps://github.com/Super-Tree/Paper-Collection/blob/master/LiDAR%20point%20clouds%20correction%20acquired%20from%20a%20moving%20car%20based%20on%20CAN-bus%20data.pdf
Modeling Point Clouds with Self-Attention and Gumbel Subset Sampling .pdfhttps://github.com/Super-Tree/Paper-Collection/blob/master/Modeling%20Point%20Clouds%20with%20Self-Attention%20and%20Gumbel%20Subset%20Sampling%20.pdf
Modeling Point Clouds with Self-Attention and Gumbel Subset Sampling .pdfhttps://github.com/Super-Tree/Paper-Collection/blob/master/Modeling%20Point%20Clouds%20with%20Self-Attention%20and%20Gumbel%20Subset%20Sampling%20.pdf
Non-local Neural Networks.pdfhttps://github.com/Super-Tree/Paper-Collection/blob/master/Non-local%20Neural%20Networks.pdf
Non-local Neural Networks.pdfhttps://github.com/Super-Tree/Paper-Collection/blob/master/Non-local%20Neural%20Networks.pdf
Object as Hotspots: An Anchor-Free 3D Object Detection Approach.pdfhttps://github.com/Super-Tree/Paper-Collection/blob/master/Object%20as%20Hotspots%3A%20An%20Anchor-Free%203D%20Object%20Detection%20Approach.pdf
Object as Hotspots: An Anchor-Free 3D Object Detection Approach.pdfhttps://github.com/Super-Tree/Paper-Collection/blob/master/Object%20as%20Hotspots%3A%20An%20Anchor-Free%203D%20Object%20Detection%20Approach.pdf
One-Shot Object Detection without Fine-Tuning.pdfhttps://github.com/Super-Tree/Paper-Collection/blob/master/One-Shot%20Object%20Detection%20without%20Fine-Tuning.pdf
One-Shot Object Detection without Fine-Tuning.pdfhttps://github.com/Super-Tree/Paper-Collection/blob/master/One-Shot%20Object%20Detection%20without%20Fine-Tuning.pdf
Oriented Objects as pairs of Middle Lines.pdfhttps://github.com/Super-Tree/Paper-Collection/blob/master/Oriented%20Objects%20as%20pairs%20of%20Middle%20Lines.pdf
Oriented Objects as pairs of Middle Lines.pdfhttps://github.com/Super-Tree/Paper-Collection/blob/master/Oriented%20Objects%20as%20pairs%20of%20Middle%20Lines.pdf
Path Aggregation Network for Instance Segmentation.pdfhttps://github.com/Super-Tree/Paper-Collection/blob/master/Path%20Aggregation%20Network%20for%20Instance%20Segmentation.pdf
Path Aggregation Network for Instance Segmentation.pdfhttps://github.com/Super-Tree/Paper-Collection/blob/master/Path%20Aggregation%20Network%20for%20Instance%20Segmentation.pdf
Pillar-based Object Detection for Autonomous Driving.pdfhttps://github.com/Super-Tree/Paper-Collection/blob/master/Pillar-based%20Object%20Detection%20for%20Autonomous%20Driving.pdf
Pillar-based Object Detection for Autonomous Driving.pdfhttps://github.com/Super-Tree/Paper-Collection/blob/master/Pillar-based%20Object%20Detection%20for%20Autonomous%20Driving.pdf
Point2Sequence_AAAI2019.pptxhttps://github.com/Super-Tree/Paper-Collection/blob/master/Point2Sequence_AAAI2019.pptx
Point2Sequence_AAAI2019.pptxhttps://github.com/Super-Tree/Paper-Collection/blob/master/Point2Sequence_AAAI2019.pptx
PointFlow: 3D Point Cloud Generation with Continuous Normalizing Flows.pdfhttps://github.com/Super-Tree/Paper-Collection/blob/master/PointFlow%3A%203D%20Point%20Cloud%20Generation%20with%20Continuous%20Normalizing%20Flows.pdf
PointFlow: 3D Point Cloud Generation with Continuous Normalizing Flows.pdfhttps://github.com/Super-Tree/Paper-Collection/blob/master/PointFlow%3A%203D%20Point%20Cloud%20Generation%20with%20Continuous%20Normalizing%20Flows.pdf
Pseudo-LiDAR%2B%2B.pdfhttps://github.com/Super-Tree/Paper-Collection/blob/master/Pseudo-LiDAR%252B%252B.pdf
Pseudo-LiDAR%2B%2B.pdfhttps://github.com/Super-Tree/Paper-Collection/blob/master/Pseudo-LiDAR%252B%252B.pdf
README.mdhttps://github.com/Super-Tree/Paper-Collection/blob/master/README.md
README.mdhttps://github.com/Super-Tree/Paper-Collection/blob/master/README.md
RRC_DETECTION.pdfhttps://github.com/Super-Tree/Paper-Collection/blob/master/RRC_DETECTION.pdf
RRC_DETECTION.pdfhttps://github.com/Super-Tree/Paper-Collection/blob/master/RRC_DETECTION.pdf
Rethinking ImageNet Pre-traininghttps://github.com/Super-Tree/Paper-Collection/blob/master/Rethinking%20ImageNet%20Pre-training
Rethinking ImageNet Pre-traininghttps://github.com/Super-Tree/Paper-Collection/blob/master/Rethinking%20ImageNet%20Pre-training
Rethinking Pseudo-LiDAR Representation.pdfhttps://github.com/Super-Tree/Paper-Collection/blob/master/Rethinking%20Pseudo-LiDAR%20Representation.pdf
Rethinking Pseudo-LiDAR Representation.pdfhttps://github.com/Super-Tree/Paper-Collection/blob/master/Rethinking%20Pseudo-LiDAR%20Representation.pdf
Scalability+in+Perception+for+Autonomous+Driving-+Waymo+Open+Dataset.pdfhttps://github.com/Super-Tree/Paper-Collection/blob/master/Scalability%2Bin%2BPerception%2Bfor%2BAutonomous%2BDriving-%2BWaymo%2BOpen%2BDataset.pdf
Scalability+in+Perception+for+Autonomous+Driving-+Waymo+Open+Dataset.pdfhttps://github.com/Super-Tree/Paper-Collection/blob/master/Scalability%2Bin%2BPerception%2Bfor%2BAutonomous%2BDriving-%2BWaymo%2BOpen%2BDataset.pdf
Simple Baselines for Human Pose Estimation.pdfhttps://github.com/Super-Tree/Paper-Collection/blob/master/Simple%20Baselines%20for%20Human%20Pose%20Estimation.pdf
Simple Baselines for Human Pose Estimation.pdfhttps://github.com/Super-Tree/Paper-Collection/blob/master/Simple%20Baselines%20for%20Human%20Pose%20Estimation.pdf
Submanifold Sparse Convolutional Networks.pdfhttps://github.com/Super-Tree/Paper-Collection/blob/master/Submanifold%20Sparse%20Convolutional%20Networks.pdf
Submanifold Sparse Convolutional Networks.pdfhttps://github.com/Super-Tree/Paper-Collection/blob/master/Submanifold%20Sparse%20Convolutional%20Networks.pdf
Training a Fast Object Detector for LiDAR Range Images.pdfhttps://github.com/Super-Tree/Paper-Collection/blob/master/Training%20a%20Fast%20Object%20Detector%20for%20LiDAR%20Range%20Images.pdf
Training a Fast Object Detector for LiDAR Range Images.pdfhttps://github.com/Super-Tree/Paper-Collection/blob/master/Training%20a%20Fast%20Object%20Detector%20for%20LiDAR%20Range%20Images.pdf
auto-driving_lab.txthttps://github.com/Super-Tree/Paper-Collection/blob/master/auto-driving_lab.txt
auto-driving_lab.txthttps://github.com/Super-Tree/Paper-Collection/blob/master/auto-driving_lab.txt
caad.pdfhttps://github.com/Super-Tree/Paper-Collection/blob/master/caad.pdf
caad.pdfhttps://github.com/Super-Tree/Paper-Collection/blob/master/caad.pdf
kato2015.pdfhttps://github.com/Super-Tree/Paper-Collection/blob/master/kato2015.pdf
kato2015.pdfhttps://github.com/Super-Tree/Paper-Collection/blob/master/kato2015.pdf
livox_lidar.pdfhttps://github.com/Super-Tree/Paper-Collection/blob/master/livox_lidar.pdf
livox_lidar.pdfhttps://github.com/Super-Tree/Paper-Collection/blob/master/livox_lidar.pdf
nuScenes.pdfhttps://github.com/Super-Tree/Paper-Collection/blob/master/nuScenes.pdf
nuScenes.pdfhttps://github.com/Super-Tree/Paper-Collection/blob/master/nuScenes.pdf
READMEhttps://github.com/Super-Tree/Paper-Collection
https://github.com/Super-Tree/Paper-Collection#paper
Readme https://github.com/Super-Tree/Paper-Collection#readme-ov-file
Please reload this pagehttps://github.com/Super-Tree/Paper-Collection
Activityhttps://github.com/Super-Tree/Paper-Collection/activity
1 forkhttps://github.com/Super-Tree/Paper-Collection/forks
Report repository https://github.com/contact/report-content?content_url=https%3A%2F%2Fgithub.com%2FSuper-Tree%2FPaper-Collection&report=Super-Tree+%28user%29
Releaseshttps://github.com/Super-Tree/Paper-Collection/releases
Packages 0https://github.com/users/Super-Tree/packages?repo_name=Paper-Collection
Please reload this pagehttps://github.com/Super-Tree/Paper-Collection
Contributorshttps://github.com/Super-Tree/Paper-Collection/graphs/contributors
Please reload this pagehttps://github.com/Super-Tree/Paper-Collection
https://github.com
Termshttps://docs.github.com/site-policy/github-terms/github-terms-of-service
Privacyhttps://docs.github.com/site-policy/privacy-policies/github-privacy-statement
Securityhttps://github.com/security
Statushttps://www.githubstatus.com/
Communityhttps://github.community/
Docshttps://docs.github.com/
Contacthttps://support.github.com?tags=dotcom-footer

Viewport: width=device-width

URLs of crawlers that visited me.