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Gait Recognition on CASIA-B CL (Coat) #1-2 (probe)

94.3Mean AccuracyTriGait
21.39640.32359.2578.177Nov 15, 2018Oct 8, 2019Aug 31, 2020Jul 24, 2021Jun 17, 2022May 10, 2023Apr 2, 2024

Evaluation results

MethodLinks
TriGaitFeature Extractor Type=3-D convolution2024.0494.391.793.296.99795.29494.695.394.194.190.8—
GaitSTRInput Modality=Skeletons and Silhouettes, Feature Extractor Type=2-D convolution2024.0489.683.89494.994.390.785.589.291.892.890.778.2—
HSTLGallery=NM #1-4, Protocol=Excluding identical-view cases, Evaluation Metric=Rank-1 accuracy (%)2023.0788.982.494.29591.788.283.38892.393.19178.55.1
MCATResolution=128 x 882022.0488.784.292.693.489.985.287.490.692.390.882.282.23.7
GaitRefFeature Extractor Type=2-D convolution2024.048881.493.394.391.687.883.988.591.791.689.175—
GaitRefInput Modality=Skeleton2023.048881.493.394.391.687.883.988.591.791.689.175—
GaitTransformerResolution=64 x 442022.0487.181.591.992.291.285.983.186.890.790.48975.65
STARResolution=128 x 882022.0487.19192.989.987.186.281.98792.494.29074.76.2
MetaGaitGallery=NM #1-4, Protocol=Excluding identical-view cases, Evaluation Metric=Rank-1 accuracy (%)2023.0786.98091.89387.886.582.985.29090.889.378.44.6
LagrangeResolution=64 x 442022.0486.681.69194.892.285.582.18689.890.68673.55.7
GaitEdge*Input Modality=RGB frames and re-segmented silhouettes, Feature Extractor Type=2-D convolution2024.0486.484.392.894.392.284.6838387.587.485.975—
GaitEdge*Input Modality=RGB, Silhouettes Source=re-segmented CASIA-B*2023.0486.484.392.894.392.284.6838387.587.485.975—
GaitMixFeature Extractor Type=2-D convolution2024.0485.879.289.594.29084.980.385.289.290.386.973.7—
GaitMixInput Modality=Skeleton2023.0485.879.289.594.29084.980.385.289.290.386.973.7—
LagrangeGaitGallery=NM #1-4, Protocol=Excluding identical-view cases, Evaluation Metric=Rank-1 accuracy (%)2023.0785.177.490.693.290.284.780.385.287.789.386.6716.3
GaitMixerGallery=NM#1-4, Identical-view exclusion=true2022.1084.581.283.682.383.584.584.886.988.98785.781.6—
MCATResolution=64 x 442022.0484.578.590.591.686.984.480.883.387.58885735.5
3DLocalResolution=128 x 882022.0484.578.588.99189.283.780.583.284.387.987.174.75
CSTLGallery=NM #1-4, Protocol=Excluding identical-view cases, Evaluation Metric=Rank-1 accuracy (%)2023.0784.278.189.491.686.682.179.981.886.388.786.675.34.9
CSTLFeature Extractor Type=2-D convolution2024.0484.278.189.491.686.682.179.981.886.388.786.675.3—
CSTL2023.0484.278.189.491.686.682.179.981.886.388.786.675.3—
STARResolution=64 x 442022.048477.989.592.188.283.180.883.386.588.785.868.36.3
3D LocalGallery=NM #1-4, Protocol=Excluding identical-view cases, Evaluation Metric=Rank-1 accuracy (%)2023.0783.778.290.29287.18376.883.186.686.884.170.96.2
3DLocalResolution=64 x 442022.0483.778.290.29287.18376.883.186.686.884.170.96.2
GaitGLGallery=NM #1-4, Protocol=Excluding identical-view cases, Evaluation Metric=Rank-1 accuracy (%)2023.0783.676.69090.387.184.57984.18787.384.469.56.3
GaitGLResolution=64 x 442022.0483.676.69090.387.184.57984.18787.384.469.56.3
GaitGLFeature Extractor Type=2-D convolution2024.0483.571.790.592.489.484.978.183.187.589.183.967.4—
GaitGL2023.0483.571.790.592.489.484.978.183.187.589.183.967.4—
GLNFeature Extractor Type=2-D convolution2024.0481.578.590.490.385.180.275.878.181.880.983.272.6—
GLN2023.0481.578.590.490.385.180.275.878.181.880.983.272.6—
MvModelGaitCamera viewpoints requirement=Required, Feature Extractor Type=2-D convolution2024.0480.7778083.586.184.584.980.680.477.476.676.9—
MvModelGaitInput Camera Viewpoints Requirement=Required2023.0480.7778083.586.184.584.980.680.477.476.676.9—
GaitPartGallery=NM #1-4, Protocol=Excluding identical-view cases, Evaluation Metric=Rank-1 accuracy (%)2023.0778.770.785.586.983.377.172.576.982.283.880.266.56.6
GaitPartResolution=64 x 442022.0478.770.785.586.983.377.172.576.982.283.880.266.56.6
GaitPartFeature Extractor Type=2-D convolution2024.0478.672.582.88682.279.57177.780.882.981.467.7—
GaitPart2023.0478.672.582.88682.279.57177.780.882.981.467.7—
ModelGaitFeature Extractor Type=2-D convolution2024.0477.678.28182.182.880.376.975.577.472.373.574.2—
ModelGait2023.0477.678.28182.182.880.376.975.577.472.373.574.2—
GLNResolution=128 x 882022.0477.570.682.485.282.779.276.476.278.977.978.764.35.8
GaitBaseResolution=64 x 442022.0477.4————————————
GaitFormerGallery=NM#1-4, Identical-view exclusion=true2022.1077.276.180.38178.277.776.677.475.876.575.777.2—
GaitSetFeature Extractor Type=2-D convolution2024.0475.17182.6848071.769.172.176.778.577.263.4—
GaitSet2023.0475.17182.6848071.769.172.176.778.577.263.4—
GaitSetTraining Setting=LT, Training Subjects Count=742018.1170.461.475.480.777.372.170.171.573.573.568.450—
GaitSetGallery=NM #1-4, Protocol=Excluding identical-view cases, Evaluation Metric=Rank-1 accuracy (%)2023.0770.461.475.480.777.372.170.171.573.573.568.4508
GaitSetResolution=64 x 442022.0470.359.57578.374.671.471.370.874.174.669.454.17.2
GaitGraphGallery=NM#1-4, Identical-view exclusion=true2022.1066.369.666.168.867.264.56269.565.665.766.164.3—
GaitGraphFeature Extractor Type=2-D convolution2024.0466.369.666.168.867.264.56269.565.665.766.164.3—
GaitGraph2023.0466.369.666.168.867.264.56269.565.665.766.164.3—
GaitGraph2Gallery=NM#1-4, Identical-view exclusion=true2022.1063.657.161.168.96667.865.468.167.263.763.650.4—
GaitSetTraining Setting=MT, Training Subjects Count=622018.1162.5526672.869.363.161.263.566.567.56045.9—
ReverseMaskGallery=NM#1-4, Excluding identical-view cases=true2022.0361.750.265.470.869635863.367.666.261.643.2—
GaitNetFeature Extractor Type=2-D convolution2024.0458.942.158.265.170.76870.665.369.451.550.136.6—
GaitNet2023.0458.942.158.265.170.76870.665.369.451.550.136.6—
GaitGLGallery=NM#1-4, Excluding identical-view cases=true2022.0357.446.958.766.665.458.354.159.562.761.357.140.6—
CNN-LBTraining Setting=LT, Training Subjects Count=742018.115437.757.266.661.155.254.655.259.158.948.839.4—
CNN-LB2023.045437.757.266.661.155.254.655.259.158.948.839.4—
GaitSetTraining Setting=ST, Training Subjects Count=242018.1140.929.443.149.548.742.340.344.947.44335.725.6—
GaitSetGallery=NM#1-4, Excluding identical-view cases=true2022.0340.929.443.149.548.742.340.344.947.44335.725.6—
PoseGaitGallery=NM#1-4, Identical-view exclusion=true2022.103624.329.741.338.838.238.541.644.942.233.422.5—
PoseGaitFeature Extractor Type=2-D convolution2024.043624.329.741.338.838.238.541.644.942.233.422.5—
PoseGait2023.043624.329.741.338.838.238.541.644.942.233.422.5—
MGANTraining Setting=MT, Training Subjects Count=622018.1131.523.134.536.333.332.932.734.237.633.726.721—
AETraining Setting=MT, Training Subjects Count=622018.1124.218.7212525.12526.328.73023.623.419—