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Pose Estimation on Penn Action Dataset (test)

98.9Head

LSTM PM

Updated 3d ago

Evaluation Results

Method	Links
LSTM PM 2017.12		98.9	98.6	96.6	96.6	98.2	98.2	97.5	97.7
Luo et al. 2019.08		98.9	98.6	96.6	96.6	98.2	98.2	97.5	97.7
DKD(ResNet50) 2019.08		98.8	98.7	96.8	97	98.2	98.1	97.2	97.8
CPM 2017.12		98.6	97.9	95.9	95.8	98.1	97.3	96.6	97.1
RPM 2017.12		98.5	98.2	95.6	95.1	97.4	97.5	96.8	97
DKD(SmallCPM) 2019.08		98.4	97.3	96.1	95.5	97	97.3	96.6	96.8
Thin-Slicing Net 2017.12		98	97.3	95.1	94.7	97.1	97.1	96.9	96.5
Song et al. 2019.08		98	97.3	95.1	94.7	97.1	97.1	96.9	96.5
DKD(ResNet50) 2019.08		96.6	93.7	92.9	91.2	88.8	94.3	93.7	92.9
Luo et al. 2019.08		96	93.6	92.4	91.1	88.3	94.2	93.5	92.6
DKD(SmallCPM) 2019.08		96	93.5	92	90.6	87.8	94	93.1	92.4
Gkioxari et al. 2019.08		95.8	93.8	90.4	90.7	91.8	90.8	91.5	91.8
Chained Model 2017.12		95.6	93.8	90.4	90.7	91.8	90.8	91.5	91.8
[11] 2017.12		89.1	86.4	73.9	73	85.3	79.9	80.3	81.1
Iqal et al. 2019.08		89.1	86.4	73.9	73	85.3	79.9	80.3	81.1
[24] 2017.12		64.2	55.4	33.8	24.4	56.4	54.1	48	48
Nie et al. 2019.08		64.2	55.4	33.8	24.4	56.4	54.1	48	48
N-Best 2017.12		62.8	52	32.3	23.3	53.3	50.2	43	45.3
Park et al. 2019.08		62.8	52	32.3	23.3	53.3	50.2	43	45.3