3 papers
cs.CV2025
TransPrune: Token Transition Pruning for Efficient Large Vision-Language Model
Ao Li, Yuxiang Duan, Jinghui Zhang +5
Large Vision-Language Models (LVLMs) have advanced multimodal learning but face high computational costs due to the large number of visual tokens, motivating token pruning to impro…
cs.LG2025
Partial Label Clustering
Yutong Xie, Fuchao Yang, Yuheng Jia
Partial label learning (PLL) is a significant weakly supervised learning framework, where each training example corresponds to a set of candidate labels and only one label is the g…
cs.CV2024
A Novel Perspective for Multi-modal Multi-label Skin Lesion Classification
Yuan Zhang, Yutong Xie, Hu Wang +3
The efficacy of deep learning-based Computer-Aided Diagnosis (CAD) methods for skin diseases relies on analyzing multiple data modalities (i.e., clinical+dermoscopic images, and pa…