Experimental results show that the approach outperforms the state-of-the-art on the Pancreas-CT dataset by a large margin and enables rapid transfer learning from 2D-pretrained models to 3D medical tasks with few labeled data, making it especially valuable for rare disease diagnosis.
Ruize Shi, Xiao-Yan Li, Bo-Yue Wang et al.· International Conference on...· 0 citations
Generalized zero-shot learning (GZSL) aims to recognize novel categories by leveraging semantic knowledge transferred from previously observed categories, where learning transferable features for effective visual-semantic alignment plays a critical role. Conventional methods typically utilize all shared attributes to l...
Huajie Jiang, Zheng-Xian Li, Xi-Chao Yu et al.· IEEE Transactions on Image P...· 0 citations
Generalized zero-shot learning (GZSL) addresses the challenging task of recognizing both seen and unseen classes by leveraging shared semantic knowledge. A core challenge in this domain is achieving robust visual-semantic alignment to transfer knowledge from seen classes to novel classes. Current state-of-the-art metho...
Huajie Jiang, Zheng-Xian Li, Yuankai Qi et al.· International Journal of Com...· 0 citations
This work proposes CounterfactualLVLM, a training-free and plug-and-play framework that mitigates object hallucinations via small-model-assisted counterfactual reasoning and highlights the power of counterfactual guidance as a simple yet effective paradigm for enhancing factual grounding in LVLM-based multi-modal reaso...
Xilin Li, Bo-Yue Wang, Xiao-Qian Ju et al.· Multimedia Systems· 0 citations
We use cookies to run the site and, with your consent, for analytics and to show ads.
See our Cookie Policy.
