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Add anchor pruning to projects documentation + Discussion about supporting the method in open-mmlab toolbox. #8120

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Jun 5, 2022
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Add anchor pruning to projects documentation + Discussion about supporting the method in open-mmlab toolbox. #8120

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ca11860
Bump version to v2.25.0
ZwwWayne Jun 1, 2022
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Add anchor pruning to projects documentation.
Mxbonn Jun 2, 2022
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1 change: 1 addition & 0 deletions docs/en/projects.md
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Expand Up @@ -19,6 +19,7 @@ Some of the papers are published in top-tier conferences (CVPR, ICCV, and ECCV),
To make this list also a reference for the community to develop and compare new object detection algorithms, we list them following the time order of top-tier conferences.
Methods already supported and maintained by MMDetection are not listed.

- Anchor Pruning for Object Detection, CVIU 2022. [\[paper\]](https://doi.org/10.1016/j.cviu.2022.103445)[\[github\]](https://github.com/Mxbonn/anchor_pruning)
- Involution: Inverting the Inherence of Convolution for Visual Recognition, CVPR21. [\[paper\]](https://arxiv.org/abs/2103.06255)[\[github\]](https://github.com/d-li14/involution)
- Multiple Instance Active Learning for Object Detection, CVPR 2021. [\[paper\]](https://openaccess.thecvf.com/content/CVPR2021/papers/Yuan_Multiple_Instance_Active_Learning_for_Object_Detection_CVPR_2021_paper.pdf)[\[github\]](https://github.com/yuantn/MI-AOD)
- Adaptive Class Suppression Loss for Long-Tail Object Detection, CVPR 2021. [\[paper\]](https://arxiv.org/abs/2104.00885)[\[github\]](https://github.com/CASIA-IVA-Lab/ACSL)
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