DetectoRS
Introduction
We provide the config files for DetectoRS: Detecting Objects with Recursive Feature Pyramid and Switchable Atrous Convolution.
@article{qiao2020detectors,
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}
}
Results and Models
DetectoRS includes two major components:
- Recursive Feature Pyramid (RFP).
- Switchable Atrous Convolution (SAC).
They can be used independently. Combining them together results in DetectoRS. The results on COCO 2017 val are shown in the below table.
| Method | Detector | Lr schd | Mem (GB) | Inf time (fps) | box AP | mask AP | Download |
|---|---|---|---|---|---|---|---|
| RFP | Cascade + ResNet-50 | 1x | 7.5 | - | 44.8 | model | log | |
| SAC | Cascade + ResNet-50 | 1x | 5.6 | - | 45.0 | model | log | |
| DetectoRS | Cascade + ResNet-50 | 1x | 9.9 | - | 47.4 | model | log | |
| RFP | HTC + ResNet-50 | 1x | 11.2 | - | 46.6 | 40.9 | model | log |
| SAC | HTC + ResNet-50 | 1x | 9.3 | - | 46.4 | 40.9 | model | log |
| DetectoRS | HTC + ResNet-50 | 1x | 13.6 | - | 49.1 | 42.6 | model | log |
Note: This is a re-implementation based on MMDetection-V2. The original implementation is based on MMDetection-V1.