Face Detection On Wider Face Easy
Métriques
AP
Résultats
Résultats de performance de divers modèles sur ce benchmark
Tableau comparatif
| Nom du modèle | 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 |