OpenMMLab Detection Toolbox and Benchmark
https://mmdetection.readthedocs.io/
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BigDong
11f3ca2ba6
|
3 years ago | |
|---|---|---|
| .. | ||
| README.md | 3 years ago | |
| metafile.yml | 3 years ago | |
| retinanet_r50_caffe_fpn_1x_coco.py | 3 years ago | |
| retinanet_r50_caffe_fpn_mstrain_1x_coco.py | 3 years ago | |
| retinanet_r50_caffe_fpn_mstrain_2x_coco.py | 4 years ago | |
| retinanet_r50_caffe_fpn_mstrain_3x_coco.py | 4 years ago | |
| retinanet_r50_fpn_1x_coco.py | 5 years ago | |
| retinanet_r50_fpn_2x_coco.py | 4 years ago | |
| retinanet_r101_caffe_fpn_1x_coco.py | 3 years ago | |
| retinanet_r101_fpn_1x_coco.py | 3 years ago | |
| retinanet_r101_fpn_2x_coco.py | 3 years ago | |
| retinanet_x101_32x4d_fpn_1x_coco.py | 3 years ago | |
| retinanet_x101_32x4d_fpn_2x_coco.py | 3 years ago | |
| retinanet_x101_64x4d_fpn_1x_coco.py | 3 years ago | |
| retinanet_x101_64x4d_fpn_2x_coco.py | 3 years ago | |
README.md
Focal Loss for Dense Object Detection
Introduction
@inproceedings{lin2017focal,
title={Focal loss for dense object detection},
author={Lin, Tsung-Yi and Goyal, Priya and Girshick, Ross and He, Kaiming and Doll{\'a}r, Piotr},
booktitle={Proceedings of the IEEE international conference on computer vision},
year={2017}
}
Results and models
| Backbone | Style | Lr schd | Mem (GB) | Inf time (fps) | box AP | Config | Download |
|---|---|---|---|---|---|---|---|
| R-50-FPN | caffe | 1x | 3.5 | 18.6 | 36.3 | config | model | log |
| R-50-FPN | pytorch | 1x | 3.8 | 19.0 | 36.5 | config | model | log |
| R-50-FPN | pytorch | 2x | - | - | 37.4 | config | model | log |
| R-101-FPN | caffe | 1x | 5.5 | 14.7 | 38.5 | config | model | log |
| R-101-FPN | pytorch | 1x | 5.7 | 15.0 | 38.5 | config | model | log |
| R-101-FPN | pytorch | 2x | - | - | 38.9 | config | model | log |
| X-101-32x4d-FPN | pytorch | 1x | 7.0 | 12.1 | 39.9 | config | model | log |
| X-101-32x4d-FPN | pytorch | 2x | - | - | 40.1 | config | model | log |
| X-101-64x4d-FPN | pytorch | 1x | 10.0 | 8.7 | 41.0 | config | model | log |
| X-101-64x4d-FPN | pytorch | 2x | - | - | 40.8 | config | model | log |