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Focal Loss for Dense Object Detection

Introduction

[ALGORITHM]

@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