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Gait Recognition

( Image credit: GaitSet: Regarding Gait as a Set for Cross-View Gait Recognition )

Papers

Recently AddedMost HypedMost ActiveNeeds VerificationMost Verified

Showing 176–200 of 220 papers

TitleStatusHype
Gait Recognition via Semi-supervised Disentangled Representation Learning to Identity and Covariate Features—0
Vision-based techniques for gait recognition—0
JointsGait:A model-based Gait Recognition Method based on Gait Graph Convolutional Networks and Joints Relationship Pyramid Mapping—0
Temporal Sparse Adversarial Attack on Sequence-based Gait Recognition—0
Scattering Features for Multimodal Gait Recognition—0
RGait-NET: An Effective Network for Recovering Missing Information from Occluded Gait Cycles—0
Biometrics Recognition Using Deep Learning: A SurveyCode0
Deep 1D-Convnet for accurate Parkinson disease detection and severity prediction from gaitCode0
CHD:Consecutive Horizontal Dropout for Human Gait Feature Extraction—0
Responsible Facial Recognition and Beyond—0
On Learning Disentangled Representations for Gait Recognition—0
Gait recognition via deep learning of the center-of-pressure trajectory—0
EV-Gait: Event-Based Robust Gait Recognition Using Dynamic Vision Sensors—0
Learning Joint Gait Representation via Quintuplet Loss Minimization—0
GlidarCo: gait recognition by 3D skeleton estimation and biometric feature correction of flash lidar data—0
Topological signature for periodic motion recognition—0
Gait Recognition via Disentangled Representation Learning—0
Towards Human Body-Part Learning for Model-Free Gait Recognition—0
Trait of Gait: A Survey on Gait Biometrics—0
Robust Cross-View Gait Recognition with Evidence: A Discriminant Gait GAN (DiGGAN) ApproachCode0
Deep Learning-Based Gait Recognition Using Smartphones in the WildCode0
Multimodal feature fusion for CNN-based gait recognition: an empirical comparison—0
Person Identification from Partial Gait Cycle Using Fully Convolutional Neural Network—0
Feature Map Pooling for Cross-View Gait Recognition Based on Silhouette Sequence Images—0
Micro-Doppler Based Human-Robot Classification Using Ensemble and Deep Learning Approaches—0
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All datasetsOUMVLPGait3D

Benchmark Results

#ModelMetricClaimedVerifiedStatus
1GaitMMAveraged rank-1 acc(%)97—Unverified
2HSTLAveraged rank-1 acc(%)92.4—Unverified
3CSTLAveraged rank-1 acc(%)91—Unverified
43DLocalAveraged rank-1 acc(%)90.9—Unverified
5ReverseMaskAveraged rank-1 acc(%)90.9—Unverified
6GaitSTRAveraged rank-1 acc(%)90.2—Unverified
7GaitSetAveraged rank-1 acc(%)87.1—Unverified
#ModelMetricClaimedVerifiedStatus
1HSTLRank-161.3—Unverified
2SMPLGaitRank-146.3—Unverified