Face Detection On Wider Face Hard
المقاييس
AP
النتائج
نتائج أداء النماذج المختلفة على هذا المعيار القياسي
جدول المقارنة
اسم النموذج | 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 |