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Multiview Gait Recognition On Casia B

Métriques

Accuracy (Cross-View, Avg)
BG#1-2
CL#1-2
NM#5-6

Résultats

Résultats de performance de divers modèles sur ce benchmark

Nom du modèle
Accuracy (Cross-View, Avg)
BG#1-2
CL#1-2
NM#5-6
Paper TitleRepository
GaitFormer83.481.477.291.5GaitMixer: Skeleton-based Gait Representation Learning via Wide-spectrum Multi-axial Mixer
GaitMM93.695.687.298.0GaitMM: Multi-Granularity Motion Sequence Learning for Gait Recognition
HSTL94.395.988.998.1Hierarchical Spatio-Temporal Representation Learning for Gait Recognition
GaitRef94.095.988.098.1GaitRef: Gait Recognition with Refined Sequential Skeletons
GaitGraph76.374.866.387.7GaitGraph: Graph Convolutional Network for Skeleton-Based Gait Recognition
GaitPart88.891.578.796.2GaitPart: Temporal Part-Based Model for Gait Recognition
GaitSTR94.796.289.698.4GaitSTR: Gait Recognition with Sequential Two-stream Refinement
GaitSet84.287.270.495.0GaitSet: Regarding Gait as a Set for Cross-View Gait Recognition
CSTL94.594.888.798.7Multi-scale Context-aware Network with Transformer for Gait Recognition
ReverseMask93.095.386.097.7Gait Recognition with Mask-based Regularization-
GaitMixer88.385.684.594.9GaitMixer: Skeleton-based Gait Representation Learning via Wide-spectrum Multi-axial Mixer
CAL (RGB), AP3DNLResNet5097.399.892.399.9Clothes-Changing Person Re-identification with RGB Modality Only
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