2 citations · 4 across the 3 of their papers we have counts for
4 papers
Envisioning Class Entity Reasoning by Large Language Models for Few-shot Learning
Mushui Liu, Fangtai Wu, Bozheng Li +3
Few-shot learning (FSL) aims to recognize new concepts using a limited number of visual samples. Existing approaches attempt to incorporate semantic information into the limited vi…
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…
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…
Multi-Content Interaction Network for Few-Shot Segmentation
Hao Chen, Yunlong Yu, Yonghan Dong +3
Few-Shot Segmentation (FSS) is challenging for limited support images and large intra-class appearance discrepancies. Most existing approaches focus on extracting high-level repres…