Action Recognition on IXMAS benchmark leaderboard · SOTA2 Research

Action Recognition on IXMAS

93.1Average AccuracyS-Undo-Bias

Evaluation Results

Method	Links
S-Undo-Bias2020.04		93.1	—	—	—	82.7	94.9	100	94	93.9
Epi-FCR2019.01		93	—	—	—	76.9	94.8	99	98	96.3
Undo-Bias2020.04		93	—	—	—	80.7	95.3	99.9	94.8	94.2
S-MLDG2020.04		92.8	—	—	—	80.1	95	99.8	96.2	92.7
FFO-S-MLDG2020.04		92.7	—	—	—	81.1	95.1	100	93.1	94.3
DANN2020.04		92.3	—	—	—	81.6	94.5	100	91.7	93.5
AGG2020.04		92.2	—	—	—	80	94.5	99.8	93.4	93.5
MMD-AAE2019.01		91.9	—	—	—	79.1	94.5	95.6	93.4	96.7
MMD-AAE2020.04		91.9	—	—	—	79.1	94.5	95.6	93.4	96.7
MLDG2020.04		91.9	—	—	—	79.4	95.2	99.9	95.2	90.4
MetaReg2020.04		91.8	—	—	—	79.3	94.5	99.8	92.5	92.8
CrossGrad2020.04		91.6	—	—	—	78.4	94.2	100	94	91.2
DANN2019.01		91.5	—	—	—	75	94.1	97.3	95.4	95.7
MetaReg2019.01		91.4	—	—	—	74.2	94	96.9	97	94.7
AGG2019.01		90.6	—	—	—	73.1	94.2	95.7	95.7	94.4
MLDG2019.01		90.2	—	—	—	70.7	93.6	97.5	95.4	93.6
CCSA2019.01		90.1	—	—	—	75.8	92.3	94.5	91.2	96.7
CrossGrad2019.01		89.9	—	—	—	71.6	93.8	95.7	94.2	94
D-MTAE2019.01		87	—	—	—	78	92.3	91.2	90.1	93.4
LRE-SVM2019.01		84.6	—	—	—	75.8	86.9	84.5	83.4	92.3
SCA2015.10		78.69	80.59	85.16	70.33	—	—	—	—	—
LRE-SVM2015.10		78.36	79.96	80.15	74.97	—	—	—	—	—
L-SVM2015.10		72.59	73.26	84.07	67.03	—	—	—	—	—
DICA2019.01		69.4	—	—	—	61.5	72.5	74.7	67	71.4
DICA2015.10		68.86	65.93	78.02	62.64	—	—	—	—	—
UML2015.10		66.1	74.14	63.79	60.37	—	—	—	—	—
Undo-Bias2015.10		62.14	69.03	60.56	56.84	—	—	—	—	—
USCA2015.10		59.77	66.67	51.09	61.54	—	—	—	—	—
KPCA2015.10		56.1	67.77	41.21	59.34	—	—	—	—	—
1NN2015.10		39.38	58.24	20.33	39.56	—	—	—	—	—