3D Human Pose Estimation on H3.6M Protocol 1 (subjects 9 and 11) benchmark leaderboard · SOTA2 Research

3D Human Pose Estimation on H3.6M Protocol 1 (subjects 9 and 11)

48.4Avg ErrorChen et al. [29]

Evaluation Results

Method	Links
Chen et al. [29]2020.07		48.4	45.3	49.8	46.1	49.6	48.2	41.7	47.4	53.1	55.2	48	57.7	45.6	40.8	52.4	45.2
Xu et al. [65]2020.07		49.2	40.6	47.1	45.7	46.6	50.7	45	47.7	56.3	63.9	49.4	63.1	46.5	38.1	51.9	42.3
MeTRo2020.07		49.3	46.3	48.3	43.3	48.2	50.2	45.1	46.1	56.2	66.8	49.3	54.5	46.7	40.1	49.6	46.2
Luvizon et al. [60]2020.07		49.5	43.7	48.8	45.6	46.2	49.3	43.5	46	56.8	67.8	50.5	57.9	43.4	40.5	53.2	45.6
Sun et al. [14]2020.07		49.6	47.5	47.7	49.5	50.2	51.4	43.8	46.4	58.9	65.7	49.4	55.8	47.8	38.9	49	43.8
2.5D baseline2020.07		50.2	45.1	50.4	45.4	47.8	50	44.6	49.8	59	69.4	49.4	56.5	48	39.6	49.4	45
Cai et al. [67]2020.07		50.6	46.5	48.8	47.6	50.9	52.9	48.3	45.8	59.2	64.4	51.2	61.3	48.4	39.2	53.5	41.2
Liu et al. [64]2020.07		52.4	47	53.1	50.3	48.8	56	48.1	47.6	65.9	72.6	52.3	61.4	49.1	39.3	54.2	40.6
Luvizon et al. [16]2020.07		55.1	51.5	53.1	49	52.5	53.9	50.3	54.4	63.6	73.5	55.3	61.9	50.1	46	60.2	51
Pavlakos et al. [63]2020.07		56.2	48.5	54.4	54.4	52	59.4	49.9	52.9	65.8	71.1	56.6	65.3	52.9	44.7	60.9	47.8
Nibali et al. [12]2020.07		57	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—
Sharma et al. [66]2020.07		58	48.6	54.5	54.2	55.7	62.6	50.5	54.3	70	78.3	58.1	72	55.4	45.2	61.4	49.7
Yang et al. [62]2020.07		58.6	51.5	58.9	50.4	57	62.1	49.8	52.7	69.2	85.2	57.4	65.4	58.4	43.6	60.1	47.7
Sun et al. [59]2020.07		59.1	52.8	54.8	54.2	54.3	61.8	53.1	53.6	71.7	86.7	61.5	67.2	53.4	47.1	61.6	53.4
Fang et al. [61]2020.07		60.4	50.1	54.3	57	57.1	66.6	53.4	55.7	72.8	88.6	60.3	73.3	57.7	47.5	62.7	50.6
Martinez et al. [8]2020.07		62.9	51.8	56.2	58.1	59	69.5	55.2	58.1	74	94.6	62.3	78.4	59.1	49.5	65.1	52.4
Zhou et al. [10]2020.07		64.9	54.8	60.7	58.2	71.4	62	53.8	55.6	75.2	111.6	64.2	65.5	66	51.4	63.2	55.3
Pavlakos et al. [13]2020.07		71.9	67.4	72	66.7	69.1	72	77	65	68.3	83.7	96.5	71.7	65.8	74.9	59.1	63.2