DetectoRS
News
[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.
Introduction
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.
Main Results on COCO test-dev
| 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 |
Citing DetectoRS
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}
}