5 citations · 9 across the 7 of their papers we have counts for
2 papers
cs.CV2024★ 4 cited
Data-free Multi-label Image Recognition via LLM-powered Prompt Tuning
Shuo Yang, Zirui Shang, Yongqi Wang +4
This paper proposes a novel framework for multi-label image recognition without any training data, called data-free framework, which uses knowledge of pre-trained Large Language Mo…
cs.CV2023★ 5 cited
Meta-causal Learning for Single Domain Generalization
Jin Chen, Zhi Gao, Xinxiao Wu +1
Single domain generalization aims to learn a model from a single training domain (source domain) and apply it to multiple unseen test domains (target domains). Existing methods foc…