1 citations · 1 across the 4 of their papers we have counts for
4 papers
Contrastive Regularization over LoRA for Multimodal Biomedical Image Incremental Learning
Haojie Zhang, Yixiong Liang, Hulin Kuang +5
Multimodal Biomedical Image Incremental Learning (MBIIL) is essential for handling diverse tasks and modalities in the biomedical domain, as training separate models for each modal…
TMCIR: Token Merge Benefits Composed Image Retrieval
Chaoyang Wang, Zeyu Zhang, Long Teng +2
Composed Image Retrieval (CIR) retrieves target images using a multi-modal query that combines a reference image with text describing desired modifications. The primary challenge i…
How Does the Smoothness Approximation Method Facilitate Generalization for Federated Adversarial Learning?
Wenjun Ding, Ying An, Lixing Chen +3
Federated Adversarial Learning (FAL) is a robust framework for resisting adversarial attacks on federated learning. Although some FAL studies have developed efficient algorithms, t…
An efficient framework based on large foundation model for cervical cytopathology whole slide image screening
Jialong Huang, Gaojie Li, Shichao Kan +2
Current cervical cytopathology whole slide image (WSI) screening primarily relies on detection-based approaches, which are limited in performance due to the expense and time-consum…