Due to its computational and storage efficiency, image hashing has emerged as a significant research approach for fine-grained image retrieval (FGIR). Since fine-grained images exhibit minimal inter-class variance and significant intra-class diversity, existing image hashing methods typically employ multiple local bran...
Yang-Tao Wang, Hong-Xing You, Yan-Zhao Xie et al.· IEEE Transactions on Image P...· 0 citations
TPGC is proposed, a dual-prior prompt initialization solution that explicitly models the synergy between task prior and structural prior, and achieves consistently better performance under few-shot settings than state-of-the-art baselines, with fewer downstream tunable parameters and lower runtime.
Zhixuan Qiu, Yang-Tao Wang, Xiaocui Li et al.· 0 citations
Unsupervised domain adaptation (UDA) based on large vision-language models (VLMs) has recently demonstrated strong generalization ability, yet it remains fundamentally challenged by noisy pseudo-labels and inefficient adaptation under large domain shifts. In this paper, we propose Progressive Hybrid Pseudo-Labeling for...
Yang-Tao Wang, Mingxin Huang, Xingwei Deng et al.· IEEE Transactions on Image P...· 0 citations
We use cookies to run the site and, with your consent, for analytics and to show ads.
See our Cookie Policy.