RetinaNet (Focal Loss for Dense Object Detection)
Model Zoo
Backbone |
Model |
imgs/GPU |
lr schedule |
FPS |
Box AP |
download |
config |
ResNet50-FPN |
RetinaNet |
2 |
1x |
--- |
37.5 |
model |
config |
Notes:
- All above models are trained on COCO train2017 with 8 GPUs and evaludated on val2017. Box AP=
mAP(IoU=0.5:0.95)
.
Citation
@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}
}