Search Results for author:
Found 2 papers, 0 papers with code
Self-Supervised Learning of Whole and Component-Based Semantic Representations for Person Re-Identification
To address these limitations, we propose a Local Semantic Extraction (LSE) module inspired by Interactive Segmentation Models.
GADER: GAit DEtection and Recognition in the Wild
Gait recognition holds the promise of robustly identifying subjects based on their walking patterns instead of color information.
Cannot find the paper you are looking for? You can
Submit a new open access paper.
