surveillance_monitoring/dependence/PaddleDetection/configs/retinanet

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}
}