most citedEnvisioning Class Entity Reasoning by Large Language Models for Few-shot Learning

1 citations · 2 across the 2 of their papers we have counts for

collaborators

2 papers

cs.CV2024★ 1 cited

Frame Order Matters: A Temporal Sequence-Aware Model for Few-Shot Action Recognition

Bozheng Li, Mushui Liu, Gaoang Wang +1

In this paper, we propose a novel Temporal Sequence-Aware Model (TSAM) for few-shot action recognition (FSAR), which incorporates a sequential perceiver adapter into the pre-traini…

cs.CV2024★ 1 cited

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…