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README.md 1.5 kB

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  1. # Bridging the Gap Between Anchor-based and Anchor-free Detection via Adaptive Training Sample Selection
  2. ## Introduction
  3. <!-- [ALGORITHM] -->
  4. ```latex
  5. @article{zhang2019bridging,
  6. title = {Bridging the Gap Between Anchor-based and Anchor-free Detection via Adaptive Training Sample Selection},
  7. author = {Zhang, Shifeng and Chi, Cheng and Yao, Yongqiang and Lei, Zhen and Li, Stan Z.},
  8. journal = {arXiv preprint arXiv:1912.02424},
  9. year = {2019}
  10. }
  11. ```
  12. ## Results and Models
  13. | Backbone | Style | Lr schd | Mem (GB) | Inf time (fps) | box AP | Config | Download |
  14. |:---------:|:-------:|:-------:|:--------:|:--------------:|:------:|:------:|:--------:|
  15. | R-50 | pytorch | 1x | 3.7 | 19.7 | 39.4 | [config](https://github.com/open-mmlab/mmdetection/tree/master/configs/atss/atss_r50_fpn_1x_coco.py) | [model](https://download.openmmlab.com/mmdetection/v2.0/atss/atss_r50_fpn_1x_coco/atss_r50_fpn_1x_coco_20200209-985f7bd0.pth) &#124; [log](https://download.openmmlab.com/mmdetection/v2.0/atss/atss_r50_fpn_1x_coco/atss_r50_fpn_1x_coco_20200209_102539.log.json) |
  16. | R-101 | pytorch | 1x | 5.6 | 12.3 | 41.5 | [config](https://github.com/open-mmlab/mmdetection/tree/master/configs/atss/atss_r101_fpn_1x_coco.py) | [model](https://download.openmmlab.com/mmdetection/v2.0/atss/atss_r101_fpn_1x_coco/atss_r101_fpn_1x_20200825-dfcadd6f.pth) &#124; [log](https://download.openmmlab.com/mmdetection/v2.0/atss/atss_r101_fpn_1x_coco/atss_r101_fpn_1x_20200825-dfcadd6f.log.json) |

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