Multi Person Pose Estimation On Coco

평가 결과

이 벤치마크에서 각 모델의 성능 결과

비교 표

모델 이름	AP
distribution-aware-coordinate-representation	0.774
towards-accurate-multi-person-pose-estimation	0.649
unipose-detecting-any-keypoints	0.768
posefix-model-agnostic-general-human-pose	-
attend-to-who-you-are-supervising-self-1	0.665
learning-delicate-local-representations-for	0.792
towards-accurate-multi-person-pose-estimation	0.685
the-center-of-attention-center-keypoint-1	0.714
lite-pose-efficient-architecture-design-for	-
openpifpaf-composite-fields-for-semantic	0.709
multiposenet-fast-multi-person-pose	0.697
evopose2d-pushing-the-boundaries-of-2d-human	-
associative-embedding-end-to-end-learning-for	0.655
cascaded-pyramid-network-for-multi-person	0.730
bapose-bottom-up-pose-estimation-with	0.727