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Top AI Repos tracks AI repositories on GitHub and answers two different questions about each one: is it moving right now, and would you bet a product on it.
Top AI Repos tracks AI repositories on GitHub and answers two different questions about each one: is it moving right now, and would you bet a product on it.
Collect some papers about transformer for detection and segmentation. Awesome Detection Transformer for Computer Vision (CV)
| Date | Stars |
|---|---|
| 2026-07-31 | 1398 |
| 2026-08-06 | 1398 |
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# Awesome Detection Transformer [](https://github.com/IDEACVR/awesome-detection-transformer) This a collecttion of papers for detection and segmentation with Transformer . We reorginize the repo by reserach fields. </br> If you find some overlooked papers or resourses, please open issues or pull requests (recommended). # Table of Contents - [Awesome Detection Transformer](https://github.com/IDEACVR/awesome-detection-transformer) [](https://github.com/IDEACVR/awesome-detection-transformer) - [Table of Contents](#table-of-contents) - [Toolbox](#toolbox) - [Papers](#papers) - [DETR](#detr) - [Object Detection](#object-detection) - [Open Vocabulary and Multi-Modal Objection Detection](#open-vocabulary-and-multi-modal-objection-detection) - [3D Object Detection](#3d-object-detection) - [Segmentation](#segmentation) - [Pose Estimation](#pose-estimation) - [Benchmarks](#benchmarks) - [Acknowledgements](#acknowledgements) # Toolbox <p> <font size=3><a href='https://github.com/IDEA-Research/detrex'><b>detrex</b></a></font>: A toolbox dedicated for Transforme-based object detectors including DETR, Deformable DETR, DAB-DETR, DN-DETR, DINO, etc. </p> <p> <font size=3><a href='https://github.com/open-mmlab/mmdetection'><b>mmdetection</b></a></font>: An open source object detection toolbox including DETR and Deformable DETR. </p> # Papers ## DETR <p> <font size=3><a href='https://alcinos.github.io/detr_page/'><b>[DETR] End-to-End Object Detection with Transformers.</b></a></font> <br> <font size=2>Nicolas Carion, Francisco Massa, Gabriel Synnaeve, Nicolas Usunier, Alexander Kirillov, Sergey Zagoruyko.</font> <br> <font size=2>ECCV 2020.</font> <a href='https://arxiv.org/abs/2005.12872'>[paper]</a> <a href='https://github.com/facebookresearch/detr'>[code]</a> <a href='https://github.com/IDEA-Research/detrex'>[detrex code]</a> </p> ## Object Detection <p> <font size=3><b>Detection Transformer with Stable Matching </b></font> <br> <font size=2>Shilong Liu, Tianhe Ren, Jiayu Chen, Zhaoyang Zeng, Hao Zhang, Feng Li, Hongyang Li, Jun Huang, Hang Su, Jun Zhu, Lei Zhang.</font> <br> <font size=2>ICCV 2023.</font> <a href='https://arxiv.org/abs/2304.04742'>[paper]</a> <a href='https://github.com/IDEA-Research/Stable-DINO'>[code]</a> </p> <p> <font size=3><b>Group DETR: Fast DETR Training with Group-Wise One-to-Many Assignment</b></font> <br> <font size=2>Qiang Chen, Xiaokang Chen, Jian Wang, Haocheng Feng, Junyu Han, Errui Ding, Gang Zeng, Jingdong Wang</font> <br> <font size=2>ICCV 2023.</font> <a href='https://arxiv.org/abs/2207.13085'>[paper]</a> </p> <p> <font size=3><b>DETRs with Collaborative Hybrid Assignments Training </b></font> <br> <font size=2>Zhuofan Zong, Guanglu Song, Yu Liu.</font> <br> <font size=2>ICCV 2023.</font> <a href='https://arxiv.org/abs/2211.12860'>[paper]</a> <a href='https://github.com/Sense-X/Co-DETR'>[code]</a> </p> <p> <font size=3><b>SAP-DETR: Bridging the Gap Between Salient Points and Queries-Based Transformer Detector for Fast Model Convergency </b></font> <br> <font size=2>Yang Liu, Yao Zhang, Yixin Wang, Yang Zhang, Jiang Tian, Zhongchao Shi, Jianping Fan, Zhiqiang He.</font> <br> <font size=2>CVPR 2023.</font> <a href='https://arxiv.org/abs/2211.02006'>[paper]</a> <a href='https://github.com/liuyang-ict/SAP-DETR'>[code]</a> </p> <p> <font size=3><b>Group DETR v2: Strong Object Detector with Encoder-Decoder Pretraining </b></font> <br> <font size=2>Qiang Chen, Jian Wang, Chuchu Han, Shan Zhang, Zexian Li, Xiaokang Chen, Jiahui Chen, Xiaodi Wang, Shuming Han, Gang Zhang, Haocheng Feng, Kun Yao, Junyu Han, Errui Ding, Jingdong Wang</font> <br> <font size=2>arxiv 2022.</font> <a href='https://arxiv.org/abs/2211.03594'>[paper]</a> </p> <p> <font size=3><b>T
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Shilong Liu · Princeton University
24
Feng Li · HKUST · China
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Hao Zhang · NVIDIA · United States
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Hanoona Rasheed · MBZUAI · United Arab Emirates
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Ren Tianhe · IDEA · China
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Bastian Wittmann · PhD Student @ UZH · Switzerland
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Chonghao Sima · China
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Would you bet a product on this? Bounded 0–100 and slow moving.
matched fp:f29cd2b09565a45a, desc:computer vision