Human Pose Estimation on LSP PC annotations (test) benchmark leaderboard · SOTA2 Research

Human Pose Estimation on LSP PC annotations (test)

0.984Torso AccuracyChu et al. [13]

Evaluation Results

Method	Links
Chu et al. [13]2017.10		0.984	0.95	0.928	0.885	0.812	0.957	0.909
Soft-argmax2017.10		0.982	0.936	0.91	0.866	0.782	0.968	0.894
Yu et al. [46]2017.10		0.98	0.931	0.881	0.829	0.726	0.83	0.854
Wei et al. [43]2017.10		0.98	0.922	0.891	0.858	0.779	0.95	0.883
Bulat and Tzimi. [5]2017.10		0.977	0.924	0.893	0.867	0.797	0.952	0.889
Rafi et al. [34]2017.10		0.976	0.873	0.802	0.768	0.662	0.933	0.812
Lifshitz et al. [26]2017.10		0.973	0.888	0.844	0.806	0.714	0.948	0.843
Pishchulin et al. [33]2017.10		0.97	0.888	0.824	0.818	0.718	0.958	0.843
Insafutdinov et al. [21]2017.10		0.97	0.906	0.869	0.861	0.795	0.954	0.878
Chen and Yuille [7]2017.10		0.96	0.772	0.722	0.697	0.581	0.856	0.736
Belag. and Ziss. [4]2017.10		0.96	0.867	0.822	0.794	0.694	0.894	0.821
Yang et al. [44]2017.10		0.956	0.785	0.718	0.722	0.618	0.839	0.748
Fan et al. [15]2017.10		0.954	0.777	0.698	0.628	0.491	0.866	0.701
Carreira et al. [6]2017.10		0.953	0.818	0.733	0.667	0.51	0.844	0.725
Tompson et al. [41]2017.10		0.903	0.704	0.611	0.63	0.512	0.837	0.666
Pishchulin et al. [32]2017.10		0.887	0.636	0.584	0.46	0.352	0.851	0.58