2 citations · 3 across the 3 of their papers we have counts for
3 papers
cs.CV2023
DenseDINO: Boosting Dense Self-Supervised Learning with Token-Based Point-Level Consistency
Yike Yuan, Xinghe Fu, Yunlong Yu +1
In this paper, we propose a simple yet effective transformer framework for self-supervised learning called DenseDINO to learn dense visual representations. To exploit the spatial i…
cs.CV2023★ 1 cited
MetaGait: Learning to Learn an Omni Sample Adaptive Representation for Gait Recognition
Huanzhang Dou, Pengyi Zhang, Wei Su +2
Gait recognition, which aims at identifying individuals by their walking patterns, has recently drawn increasing research attention. However, gait recognition still suffers from th…
cs.CV2023★ 2 cited
GaitGCI: Generative Counterfactual Intervention for Gait Recognition
Huanzhang Dou, Pengyi Zhang, Wei Su +3
Gait is one of the most promising biometrics that aims to identify pedestrians from their walking patterns. However, prevailing methods are susceptible to confounders, resulting in…