OpenMMLab Detection Toolbox and Benchmark
https://mmdetection.readthedocs.io/
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杨培文 (Yang Peiwen)
e0cb8666a5
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3 years ago | |
|---|---|---|
| .. | ||
| README.md | 3 years ago | |
| metafile.yml | 3 years ago | |
| retinanet_free_anchor_r50_fpn_1x_coco.py | ||
| retinanet_free_anchor_r101_fpn_1x_coco.py | ||
| retinanet_free_anchor_x101_32x4d_fpn_1x_coco.py | ||
README.md
FreeAnchor: Learning to Match Anchors for Visual Object Detection
Introduction
@inproceedings{zhang2019freeanchor,
title = {{FreeAnchor}: Learning to Match Anchors for Visual Object Detection},
author = {Zhang, Xiaosong and Wan, Fang and Liu, Chang and Ji, Rongrong and Ye, Qixiang},
booktitle = {Neural Information Processing Systems},
year = {2019}
}
Results and Models
| Backbone | Style | Lr schd | Mem (GB) | Inf time (fps) | box AP | Config | Download |
|---|---|---|---|---|---|---|---|
| R-50 | pytorch | 1x | 4.9 | 18.4 | 38.7 | config | model | log |
| R-101 | pytorch | 1x | 6.8 | 14.9 | 40.3 | config | model | log |
| X-101-32x4d | pytorch | 1x | 8.1 | 11.1 | 41.9 | config | model | log |
Notes:
- We use 8 GPUs with 2 images/GPU.
- For more settings and models, please refer to the official repo.