Face Detection On Wider Face Medium
評価指標
AP
評価結果
このベンチマークにおける各モデルのパフォーマンス結果
比較表
| モデル名 | AP |
|---|---|
| wider-face-a-face-detection-benchmark | 0.604 |
| to-boost-or-not-to-boost-on-the-limits-of | 0.772 |
| mogface-rethinking-scale-augmentation-on-the | 0.936 |
| dsfd-dual-shot-face-detector | 0.945 |
| sample-and-computation-redistribution-for | 0.8812 |
| mogface-rethinking-scale-augmentation-on-the | 0.942 |
| pyramidbox-a-context-assisted-single-shot | 0.946 |
| yolo5face-why-reinventing-a-face-detector | 0.944 |
| lffd-a-light-and-fast-face-detector-for-edge | 0.865 |
| selective-refinement-network-for-high | 0.948 |
| detecting-faces-using-region-based-fully | 0.931 |
| poly-nl-linear-complexity-non-local-layers | 0.9571 |
| fast-deep-convolutional-face-detection-in-the | 0.740 |
| finding-tiny-faces | 0.908 |
| aggregate-channel-features-for-multi-view | 0.588 |
| wider-face-a-face-detection-benchmark | 0.636 |
| asfd-automatic-and-scalable-face-detector-1 | 0.965 |
| sample-and-computation-redistribution-for | 0.9387 |
| sample-and-computation-redistribution-for | 0.9216 |
| segmentation-is-all-you-need | 0.9341 |
| accurate-face-detection-for-high-performance | 0.957 |
| cms-rcnn-contextual-multi-scale-region-based | 0.874 |
| joint-face-detection-and-alignment-using | 0.820 |
| yolo5face-why-reinventing-a-face-detector | 0.9261 |
| s3fd-single-shot-scale-invariant-face | 0.924 |
| extd-extremely-tiny-face-detector-via | 0.903 |
| face-detection-using-improved-faster-rcnn | 0.939 |
| robust-face-detection-via-learning-small | 0.949 |
| img2pose-face-alignment-and-detection-via | 0.890 |
| rnnpool-efficient-non-linear-pooling-for-ram | 0.89 |
| 190500641 | 0.96175 |
| wider-face-a-face-detection-benchmark | 0.589 |
| sample-and-computation-redistribution-for | 0.9492 |
| centerface-joint-face-detection-and-alignment | 0.921 |
| yolo5face-why-reinventing-a-face-detector | 0.949 |
| yolo5face-why-reinventing-a-face-detector | 0.9508 |
| dsfd-dual-shot-face-detector | 0.953 |