René's URL Explorer Experiment


Title: GitHub - DengPingFan/PraNet: PraNet: Parallel Reverse Attention Network for Polyp Segmentation, MICCAI 2020 (Oral). Code using Jittor Framework is available. · GitHub

Open Graph Title: GitHub - DengPingFan/PraNet: PraNet: Parallel Reverse Attention Network for Polyp Segmentation, MICCAI 2020 (Oral). Code using Jittor Framework is available.

X Title: GitHub - DengPingFan/PraNet: PraNet: Parallel Reverse Attention Network for Polyp Segmentation, MICCAI 2020 (Oral). Code using Jittor Framework is available.

Description: PraNet: Parallel Reverse Attention Network for Polyp Segmentation, MICCAI 2020 (Oral). Code using Jittor Framework is available. - DengPingFan/PraNet

Open Graph Description: PraNet: Parallel Reverse Attention Network for Polyp Segmentation, MICCAI 2020 (Oral). Code using Jittor Framework is available. - DengPingFan/PraNet

X Description: PraNet: Parallel Reverse Attention Network for Polyp Segmentation, MICCAI 2020 (Oral). Code using Jittor Framework is available. - DengPingFan/PraNet

Opengraph URL: https://github.com/DengPingFan/PraNet

X: @github

direct link

Domain: github.com

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README.mdhttps://github.com/DengPingFan/PraNet/blob/master/README.md
README.mdhttps://github.com/DengPingFan/PraNet/blob/master/README.md
READMEhttps://github.com/DengPingFan/PraNet
https://github.com/DengPingFan/PraNet#pranet-parallel-reverse-attention-network-for-polyp-segmentation-miccai2020-oral--miccai2025-young-scientist-publication-impact-award
Deng-Ping Fanhttps://dengpingfan.github.io/
Ge-Peng Jihttps://scholar.google.com/citations?user=oaxKYKUAAAAJ&hl=en
Tao Zhouhttps://taozh2017.github.io/
Geng Chenhttps://www.researchgate.net/profile/Geng_Chen13
Huazhu Fuhttp://hzfu.github.io/
Jianbing Shenhttp://iitlab.bit.edu.cn/mcislab/~shenjianbing
Ling Shaohttp://www.inceptioniai.org/
MICCAI 2025 YSPIA Awardeehttps://miccai.org/index.php/about-miccai/awards/young-scientist-impact-award/
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Read the paperhttps://arxiv.org/abs/2504.10986
Check out the codehttps://github.com/ai4colonoscopy/PraNet-V2
IntelliScope Projecthttps://github.com/ai4colonoscopy/IntelliScope
https://private-user-images.githubusercontent.com/38354957/376869607-f2871d49-235c-4554-ae89-11740e41edb8.png?jwt=eyJ0eXAiOiJKV1QiLCJhbGciOiJIUzI1NiJ9.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.7wO9Ke2I-IpR4faJIBJ9U-GqrtYGsvJaC5j9srnTfrw
https://github.com/DengPingFan/PraNet/blob/master/imgs/PraNet-Award.png
https://github.com/DengPingFan/PraNet#1-preface
paperhttps://link.springer.com/chapter/10.1007%2F978-3-030-59725-2_26
中文版https://dengpingfan.github.io/papers/%5B2020%5D%5BMICCAI%5DPraNet_Chinese.pdf
BibTeXhttps://github.com/DengPingFan/PraNet#4-citation
https://github.com/DengPingFan/PraNet#11-fire-news-fire
PraNet-V2https://github.com/ai4colonoscopy/PraNet-V2
Huawei Ascend platformhttps://e.huawei.com/hk/products/servers/ascend
Giteehttps://gitee.com/ascend/ModelZoo-PyTorch/tree/master/PyTorch/contrib/cv/semantic_segmentation/PraNet
CSDN introductionhttps://blog.csdn.net/m0_62401440/article/details/125563697
ProjectLinkhttps://github.com/GewelsJI/VPS
PDFhttps://arxiv.org/abs/2203.14291
Jittor Developer Conference 2021https://cg.cs.tsinghua.edu.cn/jittor/news/2021-12-27-15-27-00-00-jdc1/
inference codehttps://github.com/DengPingFan/PraNet/tree/master/jittor
github-linkhttps://github.com/Thehunk1206/PRANet-Polyps-Segmentation
https://github.com/DengPingFan/Polyp-PVThttps://github.com/DengPingFan/Polyp-PVT
Camouflaged Object Detection (COD)https://github.com/DengPingFan/SINet
resulthttps://drive.google.com/file/d/1h1sXnZA3uIeRXe9eUsH8Vp9i40VylauB/view?usp=sharing
model weighthttps://drive.google.com/file/d/1epdeolFS_JC8D8Pm_r0TaUJM-Qo4v49c/view?usp=sharing
evaluation resultshttps://drive.google.com/file/d/1hY_S0-o5rezsBZCUegpDtAAmhy8jpW5N/view?usp=sharing
Prof. Michael I. Jordanhttps://scholar.google.com/citations?user=yxUduqMAAAAJ&hl=zh-CN
Journal of the ACM 2021https://arxiv.org/pdf/2101.02703.pdf
linkhttps://paperswithcode.com/paper/pranet-parallel-reverse-attention-network-for
https://github.com/DengPingFan/PraNet#12-table-of-contents
PraNet: Parallel Reverse Attention Network for Polyp Segmentation (MICCAI2020-Oral)https://github.com/DengPingFan/PraNet#pranet-parallel-reverse-attention-network-for-polyp-segmentation-miccai2020-oral
1. Prefacehttps://github.com/DengPingFan/PraNet#1-preface
1.1. 🔥 NEWS 🔥https://github.com/DengPingFan/PraNet#11-fire-news-fire
1.2. Table of Contentshttps://github.com/DengPingFan/PraNet#12-table-of-contents
1.3. State-of-the-art Approacheshttps://github.com/DengPingFan/PraNet#13-state-of-the-art-approaches
2. Overviewhttps://github.com/DengPingFan/PraNet#2-overview
2.1. Introductionhttps://github.com/DengPingFan/PraNet#21-introduction
2.2. Framework Overviewhttps://github.com/DengPingFan/PraNet#22-framework-overview
2.3. Qualitative Resultshttps://github.com/DengPingFan/PraNet#23-qualitative-results
3. Proposed Baselinehttps://github.com/DengPingFan/PraNet#3-proposed-baseline
3.1. Training/Testinghttps://github.com/DengPingFan/PraNet#31-trainingtesting
3.2 Evaluating your trained model:https://github.com/DengPingFan/PraNet#32-evaluating-your-trained-model
3.3 Pre-computed maps:https://github.com/DengPingFan/PraNet#33-pre-computed-maps
4. Citationhttps://github.com/DengPingFan/PraNet#4-citation
5. TODO LISThttps://github.com/DengPingFan/PraNet#5-todo-list
6. FAQhttps://github.com/DengPingFan/PraNet#6-faq
7. Licensehttps://github.com/DengPingFan/PraNet#7-license
Table of contents generated with markdown-tochttp://ecotrust-canada.github.io/markdown-toc/
https://github.com/DengPingFan/PraNet#13-state-of-the-art-approaches
https://link.springer.com/chapter/10.1007/978-3-030-32239-7_34https://link.springer.com/chapter/10.1007/978-3-030-32239-7_34
https://link.springer.com/chapter/10.1007%2F978-3-030-59725-2_26https://link.springer.com/chapter/10.1007%2F978-3-030-59725-2_26
https://arxiv.org/pdf/2101.07172.pdfhttps://arxiv.org/pdf/2101.07172.pdf
https://arxiv.org/pdf/2102.08005.pdfhttps://arxiv.org/pdf/2102.08005.pdf
https://arxiv.org/pdf/2108.05082.pdfhttps://arxiv.org/pdf/2108.05082.pdf
https://link.springer.com/book/10.1007/978-3-030-87193-2?noAccess=truehttps://link.springer.com/book/10.1007/978-3-030-87193-2?noAccess=true
https://arxiv.org/pdf/2110.01939.pdfhttps://arxiv.org/pdf/2110.01939.pdf
https://link.springer.com/book/10.1007/978-3-030-87193-2?noAccess=truehttps://link.springer.com/book/10.1007/978-3-030-87193-2?noAccess=true
https://link.springer.com/book/10.1007/978-3-030-87193-2?noAccess=truehttps://link.springer.com/book/10.1007/978-3-030-87193-2?noAccess=true
https://arxiv.org/pdf/2108.00882.pdfhttps://arxiv.org/pdf/2108.00882.pdf
AWESOME_VPS.mdhttps://github.com/GewelsJI/VPS/blob/main/docs/AWESOME_VPS.md
https://github.com/DengPingFan/PraNet#2-overview
https://github.com/DengPingFan/PraNet#21-introduction
https://github.com/DengPingFan/PraNet#22-framework-overview
https://github.com/DengPingFan/PraNet/blob/master/imgs/framework-final-min.png
https://github.com/DengPingFan/PraNet#23-qualitative-results
https://github.com/DengPingFan/PraNet/blob/master/imgs/qualitative_results.png
https://github.com/DengPingFan/PraNet#3-proposed-baseline
https://github.com/DengPingFan/PraNet#31-trainingtesting
PyTorchhttps://github.com/pytorch/pytorch
Google Drive Link (327.2MB)https://drive.google.com/file/d/1Y2z7FD5p5y31vkZwQQomXFRB0HutHyao/view?usp=sharing
Google Drive Link (399.5MB)https://drive.google.com/file/d/1YiGHLw4iTvKdvbT6MgwO9zcCv8zJ_Bnb/view?usp=sharing
Google Drive Link (124.6MB)https://drive.google.com/file/d/1lJv8XVStsp3oNKZHaSr42tawdMOq6FLP/view?usp=sharing
Google Drive (98.4MB)https://drive.google.com/file/d/1FjXh_YG1hLGPPM6j-c8UxHcIWtzGGau5/view?usp=sharing
https://github.com/DengPingFan/PraNet#32-evaluating-your-trained-model
Google Drive Linkhttps://drive.google.com/file/d/1eKUpny19kLaCpZl7jjan408238h5PGIO/view?usp=sharing
Google Drive Link (380.6MB)https://drive.google.com/file/d/1FJxb9DZMzPWFffkbchU0s9Zcf5oe7qcT/view?usp=sharing
https://github.com/plemeri/UACANethttps://github.com/plemeri/UACANet
https://github.com/DengPingFan/PraNet#33-pre-computed-maps
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https://github.com/DengPingFan/PraNet#4-citation
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