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Articulated Human Pose Estimation on LSP (test)

85.8Upper Arms Accuracy

Soft-argmax

Updated 4d ago

Evaluation Results

Method	Links
Soft-argmax 2017.10		85.8	98.2	96	75.5	93.8	89.8	-	88.4
Pishchulin et al. 2017.10		82.8	96	96.2	71.8	91	83.5	-	85
Pishchulin et al. 2016.03		82.4	97	95.8	71.8	88.8	82	84.3	-
Deep Consensus Voting 2016.03		80.4	97.3	94.7	71.4	88.9	84.5	84.2	-
Yang et al. 2017.10		78.8	96.5	83.1	66.7	88.7	81.7	-	81.1
Chu et al. 2017.10		76.5	95.4	89.6	65.2	87.6	83.2	-	81.1
Chen & Yuille 2016.03		69.7	96	85.6	58.1	77.2	72.2	73.6	-
Chen and Yuille 2015.07		69.7	96	85.6	58.1	77.2	72.2	73.6	-
IDPR 2014.07		69.2	92.7	87.8	55.4	82.9	77	75	-
Chen and Yuille 2017.10		69.2	92.7	87.8	55.4	82.9	77	-	75
Carreira et al. 2016.03		66.7	95.3	84.4	51	81.8	73.3	72.5	-
IEF 2015.07		66.7	95.3	84.4	51	81.8	73.3	72.5	-
Ouyang et al. 2014.07		63.3	85.8	83.1	46.6	76.5	72.2	68.6	-
Tompson et al. 2016.03		63	90.3	83.7	51.2	70.4	61.1	66.6	-
Tompson et al. 2015.07		63	90.3	83.7	51.2	70.4	61.1	66.6	-
Fan et al. 2016.03		62.8	95.4	86.6	49.1	77.7	69.8	70.1	-
Fan et al. 2015.07		62.8	95.4	86.6	49.1	77.7	69.8	70.1	-
Ramakrishna et al. 2017.10		62.8	88.1	80.4	39.5	79	73.6	-	67.8
Ouyang et al. 2017.10		61.9	88.6	84.3	45.4	77.8	71.9	-	68.7
Pishchulin et al. 2017.10		61.8	88.7	85.1	45	78.9	73.2	-	69.2
Pishchulin et al. 2014.07		61.5	88.7	85.6	44.9	78.8	73.4	69.2	-
Eichner & Ferrari 2014.07		56.5	86.2	80.1	37.4	74.3	69.3	64.3	-
DeepPose* 2014.07		56	-	-	38	77	71	-	-
Pishchulin et al. 2017.10		54.4	87.4	77.4	33.7	75.7	68	-	62.8
Pishchulin et al. 2014.07		54.2	87.5	78.1	33.9	75.7	68	62.9	-
Kiefel and Gehler 2017.10		54.1	84.3	78.3	28.3	74.5	67.6	-	61.2
Yang & Ramanan 2014.07		52.5	84.1	77.1	35.9	69.5	65.6	60.8	-
Pishchulin et al. 2015.07		45.5	88.9	85.1	35.1	64	58.1	58	-