DetectoRS: Detecting Objects with Recursive Feature Pyramid and Switchable Atrous Convolution
Python
1,146
801 commits
updated Dec 14, 2021
[06/30/2020] DetectoRS is now officially supported by MMDetection. A huge thanks to @xvjiarui, @ZwwWayne and @hellock for helping migrating the code.
[06/15/2020] We have released the implementation of DetectoRS based on mmdetection-v2 in the branch mmdetv2, which allows more detectors to use RFP and SAC.
This repo holds the code for DetectoRS: Detecting Objects with Recursive Feature Pyramid and Switchable Atrous Convolution. The project is based on mmdetection codebase. Please refer to mmdetection readme for installation and running scripts. The code is tested with PyTorch 1.4.0. It may not run with other versions. See conda_env.md for the versions of all the packages.
| Method | Backbone | Config | Model | Box AP | Mask AP |
|---|---|---|---|---|---|
| DetectoRS | ResNet-50 | File Link | Download | 51.3 | 44.4 |
| DetectoRS | ResNeXt-101-32x4d | File Link | Download | 53.3 | 45.8 |
If you think DetectoRS is useful in your project, please consider citing us.
@article{detectors,
title={DetectoRS: Detecting Objects with Recursive Feature Pyramid and Switchable Atrous Convolution},
author={Qiao, Siyuan and Chen, Liang-Chieh and Yuille, Alan},
journal={arXiv preprint arXiv:2006.02334},
year={2020}
}
442 followers · starred Jun 2020
291 followers · starred Jul 2020
160 followers · starred Jun 2020
DetectoRS: Detecting Objects with Recursive Feature Pyramid and Switchable Atrous Convolution
Python
1,146
801 commits
updated Dec 14, 2021
[06/30/2020] DetectoRS is now officially supported by MMDetection. A huge thanks to @xvjiarui, @ZwwWayne and @hellock for helping migrating the code.
[06/15/2020] We have released the implementation of DetectoRS based on mmdetection-v2 in the branch mmdetv2, which allows more detectors to use RFP and SAC.
This repo holds the code for DetectoRS: Detecting Objects with Recursive Feature Pyramid and Switchable Atrous Convolution. The project is based on mmdetection codebase. Please refer to mmdetection readme for installation and running scripts. The code is tested with PyTorch 1.4.0. It may not run with other versions. See conda_env.md for the versions of all the packages.
| Method | Backbone | Config | Model | Box AP | Mask AP |
|---|---|---|---|---|---|
| DetectoRS | ResNet-50 | File Link | Download | 51.3 | 44.4 |
| DetectoRS | ResNeXt-101-32x4d | File Link | Download | 53.3 | 45.8 |
If you think DetectoRS is useful in your project, please consider citing us.
@article{detectors,
title={DetectoRS: Detecting Objects with Recursive Feature Pyramid and Switchable Atrous Convolution},
author={Qiao, Siyuan and Chen, Liang-Chieh and Yuille, Alan},
journal={arXiv preprint arXiv:2006.02334},
year={2020}
}
442 followers · starred Jun 2020
291 followers · starred Jul 2020
160 followers · starred Jun 2020