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Action Recognition on UTD-MHAD (cross-subject)

96.27AccuracyProposed Method
60.525269.805179.08588.3649Dec 30, 2016Aug 5, 2017Mar 11, 2018Oct 15, 2018May 21, 2019Dec 25, 2019Jul 30, 2020

Evaluation results

MethodLinks
Proposed Method2017.0496.27
PoseMapYear=2018, Pre-trained=true, Pose Input=true, RGB Input=true2020.0794.51
PoseMapPose=true, RGB=true2018.1294.5
Liu et al.Modality=RGB2019.0292.8
Action MachinePose=false, RGB=true2018.1292.5
Action Machine Archived VersionYear=2019, Pre-trained=false, Pose Input=false, RGB Input=true2020.0792.5
ours (Inflated ResNet with Hierarchical Classification)Year=2020, Pre-trained=true, Pose Input=true, RGB Input=true2020.0791.63
STAR-NetModality=Pose-based2019.0290
STAR-Net+I3D RGB+FlowModality=Pose + RGB + Flow2019.0288.4
JDMPose=true, RGB=false2018.1288.1
STAR-Net+I3D FlowModality=Pose + Flow2019.0288.1
JDMYear=2017, Pre-trained=false, Pose Input=true, RGB Input=false2020.0788.1
Joint Trajectory Maps2016.1287.9
JTM2017.0487.9
Hou et al.Modality=3D Skeletal2019.0287
SOS2016.1286.97
SOS2017.0486.97
Optical SpectraYear=2018, Pre-trained=true, Pose Input=true, RGB Input=false2020.0786.97
Optical SpectraPose=true, RGB=false2018.1286.9
JTMYear=2016, Pre-trained=true, Pose Input=true, RGB Input=false2020.0785.81
JTMPose=true, RGB=false2018.1285.8
Wang et al.Modality=3D Skeletal2019.0285.8
Hussein et al.Modality=3D Skeletal2019.0285.6
Cov3DJ2016.1285.58
Cov3DJ2017.0485.58
Glimpse CloudsYear=2018, Pre-trained=false, Pose Input=true, RGB Input=false2020.0784.19
STAR-Net+I3D RGBModality=Pose + RGB2019.0283.7
Kinect & Inertialmodality=Depth and Inertial sensor data2016.1279.1
kinect & Inertial2017.0479.1
Chen et al.Modality=Depth+Inertial2019.0279.1
I3DModality=RGB+Flow2019.0277.2
ELC-KSVD2016.1276.19
ELC-KSVD2017.0476.19
McNally et al.Modality=RGB2019.0276.1
I3DModality=Flow2019.0271.9
I3DModality=RGB2019.0261.9