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Title: GitHub - wangleihitcs/Papers: 读过的CV方向的一些论文，图像生成文字、弱监督分割等 · GitHub

Open Graph Title: GitHub - wangleihitcs/Papers: 读过的CV方向的一些论文，图像生成文字、弱监督分割等

X Title: GitHub - wangleihitcs/Papers: 读过的CV方向的一些论文，图像生成文字、弱监督分割等

Description: 读过的CV方向的一些论文，图像生成文字、弱监督分割等. Contribute to wangleihitcs/Papers development by creating an account on GitHub.

Open Graph Description: 读过的CV方向的一些论文，图像生成文字、弱监督分割等. Contribute to wangleihitcs/Papers development by creating an account on GitHub.

X Description: 读过的CV方向的一些论文，图像生成文字、弱监督分割等. Contribute to wangleihitcs/Papers development by creating an account on GitHub.

Opengraph URL: https://github.com/wangleihitcs/Papers

X: @github

direct link

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Links:

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163 Commits	https://github.com/wangleihitcs/Papers/commits/master/
	https://github.com/wangleihitcs/Papers/commits/master/
image-video captioning	https://github.com/wangleihitcs/Papers/tree/master/image-video%20captioning
image-video captioning	https://github.com/wangleihitcs/Papers/tree/master/image-video%20captioning
medical image proccessing	https://github.com/wangleihitcs/Papers/tree/master/medical%20image%20proccessing
medical image proccessing	https://github.com/wangleihitcs/Papers/tree/master/medical%20image%20proccessing
medical report generation	https://github.com/wangleihitcs/Papers/tree/master/medical%20report%20generation
medical report generation	https://github.com/wangleihitcs/Papers/tree/master/medical%20report%20generation
metrics	https://github.com/wangleihitcs/Papers/tree/master/metrics
metrics	https://github.com/wangleihitcs/Papers/tree/master/metrics
object detection	https://github.com/wangleihitcs/Papers/tree/master/object%20detection
object detection	https://github.com/wangleihitcs/Papers/tree/master/object%20detection
others	https://github.com/wangleihitcs/Papers/tree/master/others
others	https://github.com/wangleihitcs/Papers/tree/master/others
paragraph description generation	https://github.com/wangleihitcs/Papers/tree/master/paragraph%20description%20generation
paragraph description generation	https://github.com/wangleihitcs/Papers/tree/master/paragraph%20description%20generation
segmentation	https://github.com/wangleihitcs/Papers/tree/master/segmentation
segmentation	https://github.com/wangleihitcs/Papers/tree/master/segmentation
visual question answering	https://github.com/wangleihitcs/Papers/tree/master/visual%20question%20answering
visual question answering	https://github.com/wangleihitcs/Papers/tree/master/visual%20question%20answering
weakly supervised segmentation	https://github.com/wangleihitcs/Papers/tree/master/weakly%20supervised%20segmentation
weakly supervised segmentation	https://github.com/wangleihitcs/Papers/tree/master/weakly%20supervised%20segmentation
.DS_Store	https://github.com/wangleihitcs/Papers/blob/master/.DS_Store
.DS_Store	https://github.com/wangleihitcs/Papers/blob/master/.DS_Store
README.md	https://github.com/wangleihitcs/Papers/blob/master/README.md
README.md	https://github.com/wangleihitcs/Papers/blob/master/README.md
README	https://github.com/wangleihitcs/Papers
	https://github.com/wangleihitcs/Papers#intro
Image/Video Captioning	https://github.com/wangleihitcs/Papers#Image-Video-Captioning
Paragraph Description Generation	https://github.com/wangleihitcs/Papers#Paragraph-Description-Generation
Visual Question Answering	https://github.com/wangleihitcs/Papers#Visual-Question-Answering
Medical Report Generation	https://github.com/wangleihitcs/Papers#Medical-Report-Generation
Medical Image Processing	https://github.com/wangleihitcs/Papers#Medical-Image-Processing
Object Detection	https://github.com/wangleihitcs/Papers#Object-Detection
Segmentation	https://github.com/wangleihitcs/Papers#Segmentation
Weakly Supervised Segmentation	https://github.com/wangleihitcs/Papers#Weakly-Supervised-Segmentation
Metrics	https://github.com/wangleihitcs/Papers#Metrics
Others	https://github.com/wangleihitcs/Papers#Others
	https://github.com/wangleihitcs/Papers#papers-and-codesnotes
	https://github.com/wangleihitcs/Papers#image-video-captioning
(pdf)	https://www.cv-foundation.org/openaccess/content_cvpr_2015/papers/Vinyals_Show_and_Tell_2015_CVPR_paper.pdf
(pdf)	https://arxiv.org/pdf/1502.03044.pdf
(code)	https://github.com/kelvinxu/arctic-captions
(pdf)	https://arxiv.org/pdf/1609.06647.pdf
(code)	https://github.com/tensorflow/models/tree/master/research/im2txt
(pdf)	https://arxiv.org/pdf/1612.01033.pdf
(pdf)	http://openaccess.thecvf.com/content_ECCV_2018/papers/Bo_Dai_Rethinking_the_Form_ECCV_2018_paper.pdf
(pdf)	https://arxiv.org/pdf/1807.09986.pdf
(pdf)	http://openaccess.thecvf.com/content_ECCV_2018/papers/Yilei_Xiong_Move_Forward_and_ECCV_2018_paper.pdf
(pdf)	https://www.cv-foundation.org/openaccess/content_cvpr_2016/papers/Yu_Video_Paragraph_Captioning_CVPR_2016_paper.pdf
(pdf)	https://arxiv.org/pdf/1711.09151.pdf
(code)	https://github.com/aditya12agd5/convcap
(pdf)	https://arxiv.org/pdf/1809.06227.pdf
(pdf)	https://arxiv.org/pdf/1803.07950.pdf
(pdf)	https://arxiv.org/pdf/1810.09630.pdf
	https://github.com/wangleihitcs/Papers#paragraph-description-generation
(homepage)	https://cs.stanford.edu/people/karpathy/densecap/
(code)	https://github.com/jcjohnson/densecap
(homepage)	https://cs.stanford.edu/people/ranjaykrishna/im2p/index.html
(dense-caption code)	https://github.com/InnerPeace-Wu/densecap-tensorflow
(code)	https://github.com/metro-smiles/CapG_RevG_Code
	https://github.com/wangleihitcs/Papers#visual-question-answering
(pdf)	https://arxiv.org/pdf/1808.02632.pdf
	https://github.com/wangleihitcs/Papers#medical-report-generation
(pdf)	https://ieeexplore.ieee.org/stamp/stamp.jsp?arnumber=7780643
(pdf)	http://www.cs.jhu.edu/~lelu/publication/TieNet_CVPR2018_spotlight.pdf
(author's homepage)	https://xiaosongwang.github.io
(pdf)	https://arxiv.org/pdf/1711.08195.pdf
(author's homepage)	http://www.cs.cmu.edu/~pengtaox/
(pdf)	https://faculty.ist.psu.edu/suh972/Xue-MICCAI2018.pdf
(pdf)	https://arxiv.org/pdf/1908.02123.pdf
(pdf)	https://arxiv.org/pdf/1908.02123.pdf
(pdf)	https://arxiv.org/pdf/1805.08298.pdf
(author's homepage)	https://www.cs.cmu.edu/~zhitingh/
(pdf)	https://www.aaai.org/Papers/AAAI/2019/AAAI-LiChristy.629.pdf
(pdf)	https://arxiv.org/abs/1806.02121
医学报告生成综述	https://blog.csdn.net/wl1710582732/article/details/85345285
	https://github.com/wangleihitcs/Papers#medical-image-processing
	https://github.com/wangleihitcs/Papers#common-datasets
(download link)	https://nihcc.app.box.com/v/ChestXray-NIHCC
(kaggle's download link)	https://www.kaggle.com/nih-chest-xrays/data
(pdf)	https://arxiv.org/pdf/1705.02315.pdf
(download link)	https://openi.nlm.nih.gov/faq.php?it=xg
(intro)	https://labels.tue-image.nl/wp-content/uploads/2018/09/AM-04-ROCO_Labels_MICCAI_2018.pdf
(pdf)	https://labels.tue-image.nl/wp-content/uploads/2018/09/AM-04.pdf
(download)	https://github.com/razorx89/roco-dataset
	https://github.com/wangleihitcs/Papers#medical-tasks
(pdf)	https://arxiv.org/pdf/1807.07532.pdf
	https://github.com/wangleihitcs/Papers#object-detection
(pdf)	https://arxiv.org/pdf/1512.04150.pdf
(code)	https://github.com/metalbubble/CAM
(note)	https://github.com/wangleihitcs/Papers/blob/master/netural%20image%20tasks/detection/Learning%20Deep%20Features%20for%20Discriminative%20Localization/note.md
(pdf)	https://www.cs.unc.edu/~wliu/papers/ssd.pdf
(code)	https://github.com/weiliu89/caffe/tree/ssd
(blog)	https://blog.csdn.net/u010167269/article/details/52563573
(pdf)	http://web.eng.tau.ac.il/deep_learn/wp-content/uploads/2018/01/YOLO9000.pdf
(project)	https://pjreddie.com/darknet/yolo/
(code)	https://github.com/longcw/yolo2-pytorch
(pdf)	http://openaccess.thecvf.com/content_cvpr_2017/papers/Lin_Feature_Pyramid_Networks_CVPR_2017_paper.pdf
(blog)	https://medium.com/@jonathan_hui/understanding-feature-pyramid-networks-for-object-detection-fpn-45b227b9106c
(pdf)	https://pjreddie.com/media/files/papers/yolo.pdf
(note)	https://github.com/wangleihitcs/Papers/blob/master/netural%20image%20tasks/detection/You%20Only%20Look%20Once-%20Unified%20Real-Time%20Object%20Detection/note.md
(pdf)	https://eccv2018.org/openaccess/content_ECCV_2018/papers/Hei_Law_CornerNet_Detecting_Objects_ECCV_2018_paper.pdf
(code)	https://github.com/princeton-vl/CornerNet
(blog)	http://www.deepsmart.ai/508.html
(pdf)	https://arxiv.org/pdf/1904.01355.pdf
(code)	https://github.com/tianzhi0549/FCOS/
(blog)	https://blog.csdn.net/qiu931110/article/details/89073244
(pdf)	https://arxiv.org/pdf/1904.07850.pdf
(code)	https://github.com/xingyizhou/CenterNet
(pdf)	https://arxiv.org/pdf/1902.04103.pdf
(pdf)	http://openaccess.thecvf.com/content_ICCV_2017/papers/Dai_Deformable_Convolutional_Networks_ICCV_2017_paper.pdf
(code)	https://github.com/msracver/Deformable-ConvNets
	https://github.com/wangleihitcs/Papers#segmentation
(pdf)	http://jiaya.me/papers/PSPNet_cvpr17.pdf
(code)	https://github.com/hszhao/PSPNet
(pdf)	http://openaccess.thecvf.com/content_ICCV_2017/papers/He_Mask_R-CNN_ICCV_2017_paper.pdf
(code)	https://github.com/matterport/Mask_RCNN
	https://github.com/wangleihitcs/Papers#weakly-supervised-segmentation
(pdf)	https://arxiv.org/pdf/1502.02734.pdf
(deeplab-v1-code)	https://bitbucket.org/deeplab/deeplab-public
(model)	http://liangchiehchen.com/projects/DeepLab_Models.html
(note)	https://github.com/wangleihitcs/Papers/blob/master/weakly%20supervised%20segmentation/bounding%20box%20supervision/WSSL/note.md
(pdf)	https://www.cv-foundation.org/openaccess/content_iccv_2015/papers/Dai_BoxSup_Exploiting_Bounding_ICCV_2015_paper.pdf
(pdf)	https://zpascal.net/cvpr2017/Khoreva_Simple_Does_It_CVPR_2017_paper.pdf
(code)	https://datasets.d2.mpi-inf.mpg.de//khoreva_cvpr17_SimpleDoesIt/simple_does_it_code.zip
(tf-code)	https://github.com/philferriere/tfwss
(pdf)	http://openaccess.thecvf.com/content_CVPR_2019/papers/Song_Box-Driven_Class-Wise_Region_Masking_and_Filling_Rate_Guided_Loss_for_CVPR_2019_paper.pdf
(pdf)	https://arxiv.org/pdf/1412.7144.pdf
(note)	https://github.com/wangleihitcs/Papers/blob/master/weakly%20supervised%20segmentation/class%20label%20supervision/MC-MIL-Loss/note.md
(pdf)	https://www.cv-foundation.org/openaccess/content_cvpr_2015/papers/Pinheiro_From_Image-Level_to_2015_CVPR_paper.pdf
(note)	https://github.com/wangleihitcs/Papers/blob/master/weakly%20supervised%20segmentation/class%20label%20supervision/LSE/note.md
(pdf)	http://openaccess.thecvf.com/content_cvpr_2018/papers/Huang_Weakly-Supervised_Semantic_Segmentation_CVPR_2018_paper.pdf
(code)	https://github.com/speedinghzl/DSRG
(pdf)	https://arxiv.org/pdf/1909.03714.pdf
(code)	https://github.com/YudeWang/SSENet-pytorch
(pdf)	https://papers.nips.cc/paper/4296-efficient-inference-in-fully-connected-crfs-with-gaussian-edge-potentials.pdf
(homepage)	https://web.archive.org/web/20161023180357/http://www.philkr.net/home/densecrf
(code)	https://github.com/lucasb-eyer/pydensecrf
(pdf)	https://arxiv.org/pdf/1912.11186.pdf
JackieZhangdx's WeakSupervisedSegmentationList	https://github.com/JackieZhangdx/WeakSupervisedSegmentationList
	https://github.com/wangleihitcs/Papers#metrics
(pdf)	https://www.aclweb.org/anthology/P02-1040.pdf
(pdf)	https://www.cv-foundation.org/openaccess/content_cvpr_2015/papers/Vedantam_CIDEr_Consensus-Based_Image_2015_CVPR_paper.pdf
(note)	https://blog.csdn.net/wl1710582732/article/details/84202254
	https://github.com/wangleihitcs/Papers#others
(homepage)	http://visualcommonsense.com
(pdf)	https://arxiv.org/pdf/1811.10830.pdf
(pdf)	https://papers.nips.cc/paper/7181-attention-is-all-you-need.pdf
(code)	https://github.com/jadore801120/attention-is-all-you-need-pytorch
(blog)	https://medium.com/@cyeninesky3/attention-is-all-you-need-%E5%9F%BA%E6%96%BC%E6%B3%A8%E6%84%8F%E5%8A%9B%E6%A9%9F%E5%88%B6%E7%9A%84%E6%A9%9F%E5%99%A8%E7%BF%BB%E8%AD%AF%E6%A8%A1%E5%9E%8B-dcc12d251449
(pdf)	https://arxiv.org/pdf/1810.04805.pdf
(code)	https://github.com/google-research/bert
(slides)	https://nlp.stanford.edu/seminar/details/jdevlin.pdf
(homepage)	https://allennlp.org/elmo
(pdf)	https://arxiv.org/pdf/1802.05365.pdf
(code-tf)	https://github.com/allenai/bilm-tf
(pdf)	http://citeseerx.ist.psu.edu/viewdoc/download?doi=10.1.1.52.9724&rep=rep1&type=pdf
(node)	https://blog.csdn.net/wl1710582732/article/details/88636852
(pdf)	https://arxiv.org/pdf/1610.09038.pdf
(pdf)	https://arxiv.org/pdf/1409.1556.pdf
(pdf)	https://www.cs.unc.edu/~wliu/papers/GoogLeNet.pdf
(pdf)	https://www.cv-foundation.org/openaccess/content_cvpr_2016/papers/He_Deep_Residual_Learning_CVPR_2016_paper.pdf
(code)	https://github.com/KaimingHe/deep-residual-networks
(blog)	https://blog.csdn.net/wspba/article/details/56019373
(pdf)	https://www.robots.ox.ac.uk/~vgg/publications/2018/Hu18/hu18.pdf
(code)	https://github.com/hujie-frank/SENet
(blog)	https://blog.csdn.net/wangkun1340378/article/details/79092001
natural-language-processing	https://github.com/topics/natural-language-processing
computer-vision	https://github.com/topics/computer-vision
captions	https://github.com/topics/captions
vqa	https://github.com/topics/vqa
cvpr	https://github.com/topics/cvpr
iccv	https://github.com/topics/iccv
miccai	https://github.com/topics/miccai
eccv	https://github.com/topics/eccv
image2text	https://github.com/topics/image2text
scene-text-detection-recognition	https://github.com/topics/scene-text-detection-recognition
weakly-supervised-segmentation	https://github.com/topics/weakly-supervised-segmentation
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