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Gait Recognition on CASIA-B BG (Bag) (BG#1-2 probe)

96.2Mean AccuracyMCAT
34.8450.7766.782.63Nov 15, 2018Aug 26, 2019Jun 6, 2020Mar 17, 2021Dec 27, 2021Oct 7, 2022Jul 19, 2023

Evaluation results

MethodLinks
MCATResolution=128 x 882022.0496.295.997.197.897.295.19396.197.59897.493.81.7
GaitEdge*Input Modality=RGB, Silhouettes Source=re-segmented CASIA-B*2023.0496.195.397.498.497.694.390.693.197.899.19895—
HSTLGallery=NM #1-4, Protocol=Excluding identical-view cases, Evaluation Metric=Rank-1 accuracy (%)2023.0795.99596.597.396.695.393.394.696.898.697.792.91.7
GaitRefInput Modality=Skeleton2023.0495.994.496.497.396.896.292.294.497.298.797.993.3—
STARResolution=128 x 882022.0495.693.69898.396.193.991.794.897.698.297.591.82.4
3DLocalResolution=128 x 882022.0495.594.798.798.897.593.391.792.896.598.197.390.72.9
MetaGaitGallery=NM #1-4, Protocol=Excluding identical-view cases, Evaluation Metric=Rank-1 accuracy (%)2023.0795.292.996.797.196.494.790.492.997.298.598.192.32.6
GaitMixInput Modality=Skeleton2023.0495.294.496.796.896.194.390.493.597.49897.292.2—
MCATResolution=64 x 442022.0494.894.697.59795.79290.291.996.297.997.292.52.7
LagrangeGaitGallery=NM #1-4, Protocol=Excluding identical-view cases, Evaluation Metric=Rank-1 accuracy (%)2023.0794.694.296.296.895.894.389.591.796.8989790.92.7
GaitGLGallery=NM #1-4, Protocol=Excluding identical-view cases, Evaluation Metric=Rank-1 accuracy (%)2023.0794.592.696.696.895.593.589.392.296.598.296.991.52.8
GaitGLResolution=64 x 442022.0494.592.696.696.895.593.589.392.296.598.296.991.52.8
GaitGL2023.0494.49395.79795.993.39091.996.897.596.990.7—
3D LocalGallery=NM #1-4, Protocol=Excluding identical-view cases, Evaluation Metric=Rank-1 accuracy (%)2023.0794.392.995.997.896.29387.892.796.397.99888.53.5
3DLocalResolution=64 x 442022.0494.392.995.997.896.29387.892.796.397.99888.53.5
GaitBaseResolution=64 x 442022.0494————————————
GLNResolution=128 x 882022.049491.197.797.895.292.591.292.49697.59588.13.2
STARResolution=64 x 442022.0493.992.396.797.195.692.688.592.3969795.7893
CSTLGallery=NM #1-4, Protocol=Excluding identical-view cases, Evaluation Metric=Rank-1 accuracy (%)2023.0793.691.796.59795.490.98891.595.89795.590.33
CSTL2023.0493.691.796.59795.490.98891.595.89795.590.3—
GaitTransformerResolution=64 x 442022.0493.589.994.595.994.693.988.891.196.398.197.388.93.7
LagrangeResolution=64 x 442022.0493.589.994.595.994.693.98891.196.398.197.388.93.2
MvModelGaitInput Camera Viewpoints Requirement=Required2023.0493.493.992.592.994.193.493.49594.792.993.192.1—
GLN2023.0493.192.295.696.794.391.887.891.495.196.395.787.2—
ModelGait2023.0493.194.892.993.894.593.192.69494.589.793.690.4—
GaitPartGallery=NM #1-4, Protocol=Excluding identical-view cases, Evaluation Metric=Rank-1 accuracy (%)2023.0791.589.194.896.795.188.384.98993.596.193.885.84.2
GaitPartResolution=64 x 442022.0491.589.194.896.795.188.384.98993.596.193.885.84.2
GaitPart2023.0491.289.594.595.393.588.583.98993.69694.185.3—
GaitSetResolution=64 x 442022.0490.886.794.295.793.488.985.58991.794.595.983.34.4
GaitSet2023.0490.18793.894.692.988.28386.692.695.792.983.4—
GaitSetTraining Setting=LT, Training Subjects Count=742018.1187.283.891.291.888.883.38184.19092.294.479—
GaitSetGallery=NM #1-4, Protocol=Excluding identical-view cases, Evaluation Metric=Rank-1 accuracy (%)2023.0787.283.891.291.888.883.38184.19092.294.4794.9
GaitNet2023.0485.78387.888.393.382.674.889.59186.181.285.6—
GaitMixerGallery=NM#1-4, Identical-view exclusion=true2022.1085.683.585.688.189.785.287.48484.784.68781.4—
GaitSetTraining Setting=MT, Training Subjects Count=622018.1184.379.989.891.286.781.676.78188.290.388.573—
GaitFormerGallery=NM#1-4, Identical-view exclusion=true2022.1081.482.583.285.785.784.280.278.982.682.278.671.3—
GaitGraphGallery=NM#1-4, Identical-view exclusion=true2022.1074.875.876.775.976.171.473.97874.775.475.469.2—
GaitGraphGallery=NM#1-4, Probe condition=Carrying Bag, Excluding identical-view cases=true2021.0174.875.876.775.976.171.473.97874.775.475.469.2—
GaitGraph2023.0474.875.876.775.976.171.473.97874.775.475.469.2—
GaitGraph2Gallery=NM#1-4, Identical-view exclusion=true2022.1073.269.975.978.179.371.471.774.376.273.273.461.7—
CNN-LBTraining Setting=LT, Training Subjects Count=742018.1172.464.280.682.776.964.863.16876.982.275.461.3—
CNN-LB2023.0472.464.280.682.776.964.863.16876.982.275.461.3—
GaitSetTraining Setting=ST, Training Subjects Count=242018.1168.655.870.576.975.569.763.46875.876.270.752.5—
MGANTraining Setting=MT, Training Subjects Count=622018.1154.748.558.559.75853.749.85461.359.555.943.1—
PoseGaitGallery=NM#1-4, Identical-view exclusion=true2022.1044.535.347.252.446.945.543.946.148.149.443.631.1—
PoseGaitGallery=NM#1-4, Probe condition=Carrying Bag, Excluding identical-view cases=true2021.0144.535.347.252.446.945.543.946.148.149.443.631.1—
PoseGait2023.0444.535.347.252.446.945.543.946.148.149.443.631.1—
AETraining Setting=MT, Training Subjects Count=622018.1137.229.837.739.240.543.837.54342.736.330.628.5—