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Jerry Jiarui XU ae3b3c3ffc | 3 years ago | |
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README.md | 3 years ago | |
cascade_rcnn_r50_rfp_1x_coco.py | 3 years ago | |
cascade_rcnn_r50_sac_1x_coco.py | 3 years ago | |
detectors_cascade_rcnn_r50_1x_coco.py | 3 years ago | |
detectors_htc_r50_1x_coco.py | 3 years ago | |
htc_r50_rfp_1x_coco.py | 3 years ago | |
htc_r50_sac_1x_coco.py | 3 years ago |
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}
}
DetectoRS includes two major components:
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.
检测开源算法工具包
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