GaitTriViT and GaitVViT: Transformer-based methods emphasizing spatial or temporal aspects in gait recognition.

ABSTRACT: In image recognition tasks, subjects with long distances and low resolution remain a challenge, whereas gait recognition, identifying subjects by walking patterns, is considered one of the most promising biometric technologies due to its stability and efficiency. Previous gait recognition methods mostly focused on constructing a sophisticated model structure for better model performance during evaluation. Moreover, these methods are primarily based on traditional convolutional neural networks (CNNs) due to the dominance of CNNs in computer vision. However, since the alternative form of Transformer, named Vision Transformers (ViTs), has been introduced into the computer vision field, the ViTs have gained strong attention for its outstanding performance in various tasks. Thus, unlike previou

SUBMITTER: Sheng H 

PROVIDER: S-EPMC12453820 | biostudies-literature | 2025

REPOSITORIES: biostudies-literature