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Human Pose Estimation on LSP (test)

98.6Head Accuracy

ASR+AHO

Updated 4d ago

Evaluation Results

Method	Links
ASR+AHO 2018.05		98.6	95.3	92.8	90	94.8	95.3	94.5	94.5	-	-	-	-	-	-	-	-	-
Peng et al., CVPR'18 2018.11		98.6	95.3	92.8	90	94.8	95.3	94.5	-	-	-	-	-	-	-	94.5	-	-
Adversarial PoseNet 2017.04		98.5	94	89.8	87.5	93.9	94.1	93	93.1	-	-	-	-	-	-	-	-	-
Stacked HGs(8) 2018.05		98.2	94	91.2	87.2	93.5	94.5	92.6	93	-	-	-	-	-	-	-	-	-
Knowledge-Guided Deep Fractal Neural Networks 2017.05		98.2	94.4	91.8	89.3	94.7	95	93.5	93.9	-	-	-	-	-	-	-	-	-
Self Adversarial Training 2017.07		98.2	94.9	92.2	89.5	94.2	95	94.1	94	-	-	-	-	-	-	-	-	-
Newell et al. 2018.08		98.2	94	91.2	87.2	93.5	94.5	92.6	93	-	-	-	-	-	-	-	-	-
Chu et al. 2018.05		98.1	93.7	89.3	86.9	93.4	94	92.5	92.6	-	-	-	-	-	-	-	-	-
Chu et al. 2017.07		98.1	93.7	89.3	86.9	93.4	94	92.5	92.6	-	-	-	-	-	-	-	-	-
Chu et al. [13] 2017.10		98.1	93.7	89.3	86.9	93.4	94	92.5	-	-	-	-	-	-	92.6	-	-	-
Chu et al. 2018.08		98.1	93.7	89.3	86.9	93.4	94	92.5	92.6	-	-	-	-	-	-	-	-	-
[22] 2017.04		97.8	92.5	87	83.9	91.5	89.9	87.2	90.1	-	-	-	-	-	-	-	-	-
[33] 2017.04		97.8	92.5	87	83.9	91.5	90.8	89.9	90.5	-	-	-	-	-	-	-	-	-
Wei et al. 2018.05		97.8	92.5	87	83.9	91.5	90.8	89.9	90.5	-	-	-	-	-	-	-	-	-
Wei et al. 2017.05		97.8	92.5	87	83.9	91.5	90.8	89.9	90.5	-	-	-	-	-	-	-	-	-
Lifshitz et al. 2017.07		97.8	93.3	85.7	80.4	85.3	76.6	70.2	85	-	-	-	-	-	-	-	-	-
Wei et al. 2017.07		97.8	95	88.7	84	88.4	82.8	79.4	88.5	-	-	-	-	-	-	-	-	-
Wei et al. [43] 2017.10		97.8	92.5	87	83.9	91.5	90.8	89.9	-	-	-	-	-	-	90.5	-	-	-
Wei et al. 2018.08		97.8	92.5	87	83.9	91.5	90.8	89.9	90.5	-	-	-	-	-	-	-	-	-
Wei et al., CVPR'16 2016.09		97.8	92.5	87	83.9	91.5	90.8	89.9	90.5	-	-	-	-	-	-	-	-	-
Soft-argmax 2017.10		97.5	93.3	87.6	84.6	92.8	92	90	-	-	-	-	-	-	91.1	-	-	-
[14] 2017.04		97.4	92.7	87.5	84.4	91.5	89.9	87.2	90.1	-	-	-	-	-	-	-	-	-
Insafutdinov et al. 2018.05		97.4	92.7	87.5	84.4	91.5	89.9	87.2	90.1	-	-	-	-	-	-	-	-	-
Insafutdinov et al. 2017.05		97.4	92.7	87.5	84.4	91.5	89.9	87.2	90.1	-	-	-	-	-	-	-	-	-
Insafutdinov et al. [21] 2017.10		97.4	92.7	87.5	84.4	91.5	89.9	87.2	-	-	-	-	-	-	90.1	-	-	-
Insafutdinov et al. 2018.08		97.4	92.7	87.5	84.4	91.5	89.9	87.2	90.1	-	-	-	-	-	-	-	-	-
Insafutdinov et al., arXiv'16 2016.09		97.4	92.7	87.5	84.4	91.5	89.9	87.2	90.1	-	-	-	-	-	-	-	-	-
FPD 2018.11		97.3	92.3	86.8	84.2	91.9	92.2	90.9	-	-	-	-	-	-	-	90.8	64.3	-
[4] 2017.04		97.2	92.1	88.1	85.2	92.2	91.4	88.7	90.7	-	-	-	-	-	-	-	-	-
Bulat et al. 2018.05		97.2	92.1	88.1	85.2	92.2	91.4	88.7	90.7	-	-	-	-	-	-	-	-	-
Bulat & Tzimiropoulos 2017.05		97.2	92.1	88.1	85.2	92.2	91.4	88.7	90.7	-	-	-	-	-	-	-	-	-
Bulat et al. 2017.07		97.2	92.1	88.1	85.2	92.2	91.4	88.7	90.7	-	-	-	-	-	-	-	-	-
Bulat and Tzimi. [5] 2017.10		97.2	92.1	88.1	85.2	92.2	91.4	88.7	-	-	-	-	-	-	90.7	-	-	-
Bulat et al. 2018.08		97.2	92.1	88.1	85.2	92.2	91.4	88.7	90.7	-	-	-	-	-	-	-	-	-
CU-Net-8 2018.08		97.1	94.7	91.6	89	93.7	94.2	93.7	93.4	-	-	-	-	-	-	-	-	-
[21] 2017.04		97	91	83.8	78.1	91	86.7	82	87.1	-	-	-	-	-	-	-	-	-
Pishchulin et al. 2018.05		97	91	83.8	78.1	91	86.7	82	87.1	-	-	-	-	-	-	-	-	-
Pishchulin et al. CVPR'16 2017.05		97	91	83.8	78.1	91	86.7	82	87.1	-	-	-	-	-	-	-	-	-
Pishchulin et al. 2017.07		97	91	83.8	78.1	91	86.7	82	87.1	-	-	-	-	-	-	-	-	-
Pishchulin et al. [33] 2017.10		97	91	83.8	78.1	91	86.7	82	-	-	-	-	-	-	87.1	-	-	-
Pishchulin et al. 2018.08		97	91	83.8	78.1	91	86.7	82	87.1	-	-	-	-	-	-	-	-	-
Pishchulin et al., CVPR'16 2016.09		97	91	83.8	78.1	91	86.7	82	87.1	-	-	-	-	-	-	-	-	-
[16] 2017.04		96.8	89	82.7	79.1	90.9	86	82.5	86.7	-	-	-	-	-	-	-	-	-
Lifshitz et al. 2018.05		96.8	89	82.7	79.1	90.9	86	82.5	86.7	-	-	-	-	-	-	-	-	-
Lifshitz et al. 2017.05		96.8	89	82.7	79.1	90.9	86	82.5	86.7	-	-	-	-	-	-	-	-	-
Insafutdinov et al. 2017.07		96.8	95.2	89.3	84.4	88.4	83.4	78	88.5	-	-	-	-	-	-	-	-	-
Lifshitz et al. [26] 2017.10		96.8	89	82.7	79.1	90.9	86	82.5	-	-	-	-	-	-	86.7	-	-	-
Lifshitz et al. 2018.08		96.8	89	82.7	79.1	90.9	86	82.5	86.7	-	-	-	-	-	-	-	-	-
Lifshitz et al., arXiv'16 2016.09		96.8	89	82.7	79.1	90.9	86	82.5	86.7	-	-	-	-	-	-	-	-	-
Knowledge-Guided Deep Fractal Neural Networks 2017.05		96.4	-	-	-	-	-	-	92.3	98.6	95.8	93.6	90.7	84.2	-	-	-	-
Part heatmap regression 2016.09		96.3	92.2	88.2	85.2	92.2	91.5	88.6	90.7	-	-	-	-	-	-	-	-	-
4HG+AW 2019.04		96.3	88.7	81.1	78.2	88.3	88.1	86.4	85.9	-	-	-	-	-	-	-	-	-
Rafi et al. 2017.05		95.8	86.2	79.3	75	86.6	83.8	79.8	83.8	-	-	-	-	-	-	-	-	-
Pishchulin et al. 2017.05		95.8	-	-	-	-	-	-	84.3	97	88.8	82	82.4	71.8	-	-	-	-
Rafi et al. [34] 2017.10		95.8	86.2	79.3	75	86.6	83.8	79.8	-	-	-	-	-	-	83.8	-	-	-
Rafi et al., BMVC'16 2018.11		95.8	86.2	79.3	75	86.6	83.8	79.8	-	-	-	-	-	-	-	83.8	56.9	-
Insafutdinov et al. 2017.05		95.4	-	-	-	-	-	-	87.8	97	90.6	86.9	86.1	79.5	-	-	-	-
[2] 2017.04		95.2	89	81.5	77	83.7	87	82.8	85.2	-	-	-	-	-	-	-	-	-
Belagiannis et al. 2018.05		95.2	89	81.5	77	83.7	87	82.8	85.2	-	-	-	-	-	-	-	-	-
Belagiannis & Zisserman 2017.05		95.2	89	81.5	77	83.7	87	82.8	85.2	-	-	-	-	-	-	-	-	-
Bulat & Tzimiropoulos 2017.05		95.2	-	-	-	-	-	-	88.9	97.7	92.4	89.3	86.7	79.7	-	-	-	-
Belag. and Ziss. [4] 2017.10		95.2	89	81.5	77	83.7	87	82.8	-	-	-	-	-	-	85.2	-	-	-
Belagiannis et al. 2018.08		95.2	89	81.5	77	83.7	87	82.8	85.2	-	-	-	-	-	-	-	-	-
Wei et al. 2017.05		95	-	-	-	-	-	-	88.3	98	82.2	89.1	85.8	77.9	-	-	-	-
Lifshitz et al. 2017.05		94.8	-	-	-	-	-	-	84.3	97.3	88.8	84.4	80.6	71.4	-	-	-	-
Part heatmap regression 2016.09		94.8	86.6	79.5	73.5	88.1	83.2	78.5	83.5	-	-	-	-	-	-	-	-	-
DeepCut 2019.04		94.6	86.8	79.9	75.4	83.5	82.8	77.9	83	-	-	-	-	-	-	-	-	-
4HG+MSE 2019.04		94.3	85.9	78.2	72	84.8	83.1	80.6	81.8	-	-	-	-	-	-	-	-	-
Rafi et al. 2017.05		93.3	-	-	-	-	-	-	81.2	97.6	87.3	80.2	76.8	66.2	-	-	-	-
Fan et al. 2017.05		92.4	75.2	65.3	64	76.7	68.3	70.4	73	-	-	-	-	-	-	-	-	-
Fan et al. [15] 2017.10		92.4	75.2	65.3	64	75.7	68.3	70.4	-	-	-	-	-	-	73	-	-	-
Fan et al., CVPR'15 2016.09		92.4	75.2	65.3	64	75.7	68.3	70.4	73	-	-	-	-	-	-	-	-	-
Fan et al., CVPR'15 2018.11		92.4	75.2	65.3	64	75.7	68.3	70.4	-	-	-	-	-	-	-	73	43.2	-
Chen & Yuille 2017.05		91.8	78.2	71.8	65.5	73.3	70.2	63.4	73.4	-	-	-	-	-	-	-	-	-
Chen and Yuille [7] 2017.10		91.8	78.2	71.8	65.5	73.3	70.2	63.4	-	-	-	-	-	-	73.4	-	-	-
Chen & Yuille, NIPS'14 2016.09		91.8	78.2	71.8	65.5	73.3	70.2	63.4	73.4	-	-	-	-	-	-	-	-	-
Chen & Yuille, NIPS'14 2018.11		91.8	78.2	71.8	65.5	73.3	70.2	63.4	-	-	-	-	-	-	-	73.4	40.1	-
Yang et al. 2017.05		90.6	78.1	73.8	68.8	74.8	69.9	58.9	73.6	-	-	-	-	-	-	-	-	-
Tompson et al. 2017.05		90.6	79.2	67.9	63.4	69.5	71	64.2	72.3	-	-	-	-	-	-	-	-	-
Tompson et al. [41] 2017.10		90.6	79.2	67.9	63.4	69.5	71	64.2	-	-	-	-	-	-	72.3	-	-	-
Yang et al. [44] 2017.10		90.6	78.1	73.8	68.8	74.8	69.9	58.9	-	-	-	-	-	-	73.6	-	-	-
Yang et al., CVPR'16 2016.09		90.6	78.1	73.8	68.8	74.8	69.9	58.9	73.6	-	-	-	-	-	-	-	-	-
Tompson et al., NIPS'14 2016.09		90.6	79.2	67.9	63.4	69.5	71	64.2	72.3	-	-	-	-	-	-	-	-	-
Tompson et al., NIPS' 14 2018.11		90.6	79.2	67.9	63.4	69.5	71	64.2	-	-	-	-	-	-	-	72.3	47.3	-
Yang et al., CVPR'16 2018.11		90.6	78.1	73.8	68.8	74.8	69.9	58.9	-	-	-	-	-	-	-	73.6	39.3	-
Carreira et al. [6] 2017.10		90.5	81.8	65.8	59.8	81.6	70.6	62	-	-	-	-	-	-	73.1	-	-	-
Carreira et al., CVPR'16 2016.09		90.5	81.8	65.8	59.8	81.6	70.6	62	73.1	-	-	-	-	-	-	-	-	-
Carreira et al., CVPR'16 2018.11		90.5	81.8	65.8	59.8	81.6	70.6	62	-	-	-	-	-	-	-	73.1	41.5	-
Belagiannis & Zisserman 2017.05		89.4	-	-	-	-	-	-	82.1	96	86.7	82.2	79.4	69.4	-	-	-	-
Yu et al. 2017.05		87.2	88.2	82.4	76.3	91.4	85.8	78.7	84.3	-	-	-	-	-	-	-	-	-
Pishchulin et al. ICCV'13 2017.05		87.2	56.7	46.7	38	61	57.5	52.7	57.1	-	-	-	-	-	-	-	-	-
Pishchulin et al. [32] 2017.10		87.2	56.7	46.7	38	61	57.5	52.7	-	-	-	-	-	-	57.1	-	-	-
Yu et al. [46] 2017.10		87.2	88.2	82.4	76.3	91.4	85.8	78.7	-	-	-	-	-	-	84.3	-	-	-
Yu et al., ECCV'16 2018.11		87.2	88.2	82.4	76.3	91.4	85.8	78.7	-	-	-	-	-	-	-	84.3	55.2	-
Fan et al. 2017.05		86.6	-	-	-	-	-	-	70.1	95.4	77.7	69.8	62.8	49.1	-	-	-	-
Chen & Yuille 2017.05		85.6	-	-	-	-	-	-	73.6	96	77.2	72.2	69.7	58.1	-	-	-	-
Pishchulin et al. (2013) 2017.05		85.1	-	-	-	-	-	-	58	88.7	63.6	58.4	46	35.2	-	-	-	-
Wang & Li 2017.05		84.7	57.1	43.7	36.7	56.7	52.4	50.8	54.6	-	-	-	-	-	-	-	-	-
Yang et al. 2017.05		83.9	-	-	-	-	-	-	74.8	95.6	78.5	71.8	72.2	61.8	-	-	-	-
Tompson et al. 2017.05		83.7	-	-	-	-	-	-	66.6	90.3	70.4	61.1	63	51.2	-	-	-	-

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