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cs.CV2026
Frequency Switching Mechanism for Parameter-E!cient Multi-Task Learning
Shih-Wen Liu, Yen-Chang Chen, Wei-Ta Chu +2
Multi-task learning (MTL) aims to enable a single model to solve multiple tasks efficiently; however, current parameter-efficient fine-tuning (PEFT) methods remain largely limited…
cs.CV2025
Histopathology Image Report Generation by Vision Language Model with Multimodal In-Context Learning
Shih-Wen Liu, Hsuan-Yu Fan, Wei-Ta Chu +2
Automating medical report generation from histopathology images is a critical challenge requiring effective visual representations and domain-specific knowledge. Inspired by the co…
cs.CV2024
Transformer-based Clipped Contrastive Quantization Learning for Unsupervised Image Retrieval
Ayush Dubey, Shiv Ram Dubey, Satish Kumar Singh +1
Unsupervised image retrieval aims to learn the important visual characteristics without any given level to retrieve the similar images for a given query image. The Convolutional Ne…