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Human Body Part Segmentation on LSP (test)

90.47AccuracyPyMAF
81.99484.194586.39588.5955Dec 18, 2017Jul 5, 2018Jan 21, 2019Aug 9, 2019Feb 24, 2020Sep 11, 2020Mar 30, 2021

Evaluation results

MethodLinks
PyMAF2021.0390.4772
PyMAF w/o ASAuxiliary Supervision=false2021.0389.9870
HKMR2021.0389.5969
DecoMR2020.0689.4569
DecoMR2021.0389.4569
SPIN2020.0689.4168
SPIN2021.0389.4168
Baselinedescription=same network architecture with HMR and 6D rotation representation2021.0389.2368
TexturePose2019.108967
TexturePose2021.038967
SMPLify oracleground truth segmentation=true, Run Time=-2017.1288.8267
SMPLify oracleApproach type=Optimization-based, Oracle=true2019.0588.8267
SMPLify oracleoracle=true2019.1088.8267
SMPLifyoracle=true2020.0688.8267
SMPLify oracleground-truth keypoints=true2021.0388.8267
Ours (CMR)Approach type=Regression-based2019.0588.6966
CMR2020.0688.6966
CMR2021.0388.6966
SMPLify on [31]Approach type=Optimization-based, Reference initialization=Pavlakos et al. [31]2019.0588.2464
SMPLify on [35]initialization=Pavlakos et al. [35]2019.1088.2464
SMPLifyinitialization=Pavlakos et al. [26]2020.0688.2464
SMPLify on [44]detector=Pavlakos et al. [44]2021.0388.2464
SMPLifyRun Time=~1 min2017.1287.7164
SMPLifyApproach type=Optimization-based2019.0587.7164
SMPLify2019.1087.7164
SMPLify2020.0687.7167
SMPLify2021.0387.7164
HMRpaired 3D supervision=true, Run Time=0.04 sec2017.1287.1260
HMRApproach type=Regression-based2019.0587.1260
HMR2019.1087.1260
HMR2020.0687.1260
HMR2021.0387.1260
HMR unpairedpaired 3D supervision=false, Run Time=0.04 sec2017.128759
Decision ForestsRun Time=0.13 sec2017.1282.3251