| # Bridging the Gap Between Anchor-based and Anchor-free Detection via Adaptive Training Sample Selection | |
| ## Introduction | |
| <!-- [ALGORITHM] --> | |
| ```latex | |
| @article{zhang2019bridging, | |
| title = {Bridging the Gap Between Anchor-based and Anchor-free Detection via Adaptive Training Sample Selection}, | |
| author = {Zhang, Shifeng and Chi, Cheng and Yao, Yongqiang and Lei, Zhen and Li, Stan Z.}, | |
| journal = {arXiv preprint arXiv:1912.02424}, | |
| year = {2019} | |
| } | |
| ``` | |
| ## Results and Models | |
| | Backbone | Style | Lr schd | Mem (GB) | Inf time (fps) | box AP | Config | Download | | |
| |:---------:|:-------:|:-------:|:--------:|:--------------:|:------:|:------:|:--------:| | |
| | 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](http://download.openmmlab.com/mmdetection/v2.0/atss/atss_r50_fpn_1x_coco/atss_r50_fpn_1x_coco_20200209-985f7bd0.pth) | [log](http://download.openmmlab.com/mmdetection/v2.0/atss/atss_r50_fpn_1x_coco/atss_r50_fpn_1x_coco_20200209_102539.log.json) | | |
| | 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](http://download.openmmlab.com/mmdetection/v2.0/atss/atss_r101_fpn_1x_coco/atss_r101_fpn_1x_20200825-dfcadd6f.pth) | [log](http://download.openmmlab.com/mmdetection/v2.0/atss/atss_r101_fpn_1x_coco/atss_r101_fpn_1x_20200825-dfcadd6f.log.json) | | |