3 papers
cs.CV2025
Continual Alignment for SAM: Rethinking Foundation Models for Medical Image Segmentation in Continual Learning
Jiayi Wang, Wei Dai, Haoyu Wang +3
In medical image segmentation, heterogeneous privacy policies across institutions often make joint training on pooled datasets infeasible, motivating continual image segmentation-l…
cs.CV2025
Improved Baselines with Synchronized Encoding for Universal Medical Image Segmentation
Sihan Yang, Jiadong Feng, Xuande Mi +3
Large foundation models, known for their strong zero-shot generalization capabilities, can be applied to a wide range of downstream tasks. However, developing foundation models for…
cs.CV2025
ECP-Mamba: An Efficient Multi-scale Self-supervised Contrastive Learning Method with State Space Model for PolSAR Image Classification
Zuzheng Kuang, Haixia Bi, Chen Xu +1
Recently, polarimetric synthetic aperture radar (PolSAR) image classification has been greatly promoted by deep neural networks. However,current deep learning-based PolSAR classifi…