Face Detection On Wider Face Easy

评测结果

各个模型在此基准测试上的表现结果

比较表格

模型名称	AP
s3fd-single-shot-scale-invariant-face	0.937
centerface-joint-face-detection-and-alignment	0.932
mogface-rethinking-scale-augmentation-on-the	0.956
detecting-faces-using-region-based-fully	0.943
asfd-automatic-and-scalable-face-detector-1	0.972
face-detection-using-improved-faster-rcnn	0.950
sample-and-computation-redistribution-for	0.9606
yolo5face-why-reinventing-a-face-detector	0.953
fast-deep-convolutional-face-detection-in-the	0.773
joint-face-detection-and-alignment-using	0.851
yolo5face-why-reinventing-a-face-detector	0.9433
robust-face-detection-via-learning-small	0.957
accurate-face-detection-for-high-performance	0.965
img2pose-face-alignment-and-detection-via	0.9
sample-and-computation-redistribution-for	0.9057
yolo5face-why-reinventing-a-face-detector	0.9638
lffd-a-light-and-fast-face-detector-for-edge	0.896
sample-and-computation-redistribution-for	0.9516
selective-refinement-network-for-high	0.959
pyramidbox-a-context-assisted-single-shot	0.961
dsfd-dual-shot-face-detector	0.96
mogface-rethinking-scale-augmentation-on-the	0.946
yolo5face-why-reinventing-a-face-detector	0.9667
sample-and-computation-redistribution-for	0.9378
190500641	0.96942
mogface-rethinking-scale-augmentation-on-the	0.951
poly-nl-linear-complexity-non-local-layers	0.9637