Face Detection On Wider Face Hard

평가 지표

평가 결과

이 벤치마크에서 각 모델의 성능 결과

비교 표

모델 이름	AP
img2pose-face-alignment-and-detection-via	0.839
mogface-rethinking-scale-augmentation-on-the	0.874
dupnet-towards-very-tiny-quantized-cnn-with	0.906
face-detection-using-improved-faster-rcnn	0.896
accurate-face-detection-for-high-performance	0.912
mogface-rethinking-scale-augmentation-on-the	0.873
robust-face-detection-via-learning-small	0.897
detecting-faces-using-region-based-fully	0.876
190500641	0.91857
segmentation-is-all-you-need	0.8723
fast-deep-convolutional-face-detection-in-the	0.51
poly-nl-linear-complexity-non-local-layers	0.9276
wider-face-a-face-detection-benchmark	0.304
pyramidbox-a-context-assisted-single-shot	0.889
wider-face-a-face-detection-benchmark	0.400
rnnpool-efficient-non-linear-pooling-for-ram	0.70
asfd-automatic-and-scalable-face-detector-1	0.925
sample-and-computation-redistribution-for	0.8529
yolo5face-why-reinventing-a-face-detector	0.828
a-unified-multi-scale-deep-convolutional	0.809
lffd-a-light-and-fast-face-detector-for-edge	0.770
finding-tiny-faces	0.823
dsfd-dual-shot-face-detector	0.872
extd-extremely-tiny-face-detector-via	0.850
yolo5face-why-reinventing-a-face-detector	0.8588
yolo5face-why-reinventing-a-face-detector	0.845
centerface-joint-face-detection-and-alignment	0.873
dsfd-dual-shot-face-detector	0.9
to-boost-or-not-to-boost-on-the-limits-of	0.564
aggregate-channel-features-for-multi-view	0.290
yolo5face-why-reinventing-a-face-detector	0.8655
s3fd-single-shot-scale-invariant-face	0.852
cms-rcnn-contextual-multi-scale-region-based	0.643
joint-face-detection-and-alignment-using	0.607
sample-and-computation-redistribution-for	0.8305
wider-face-a-face-detection-benchmark	0.315
yolo5face-why-reinventing-a-face-detector	0.852
selective-refinement-network-for-high	0.896
sample-and-computation-redistribution-for	0.7787
sample-and-computation-redistribution-for	0.6851