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README.md

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atss_OSACSPNet_yefpn.py

atss_OSACSPNet_yefpn.py

 
 

atss_OSACSP_pafpn_private_AdamW.py

atss_OSACSP_pafpn_private_AdamW.py

 
 

atss_r101_fpn_1x_coco.py

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atss_r50_fpn_1x_coco.py

atss_r50_fpn_1x_coco.py

 
 

atss_vovnet_fpn_1x_coco.py

atss_vovnet_fpn_1x_coco.py

 
 

atss_vovnet_pafpn_Holly_OpenImage_CrowdHuman.py

atss_vovnet_pafpn_Holly_OpenImage_CrowdHuman.py

 
 

atss_vovnet_pafpn_coco.py

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atss_vovnet_pafpn_private_head_coco.py

atss_vovnet_pafpn_private_head_coco.py

 
 

README.md

Bridging the Gap Between Anchor-based and Anchor-free Detection via Adaptive Training Sample Selection

Introduction

@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 Download
R-50 pytorch 1x 3.7 19.7 39.4 model | log
R-101 pytorch 1x 5.6 12.3 41.5 model | log