3 papers
cs.CV2026
AIM: Asymmetric Information Masking for Visual Question Answering Continual Learning
Peifeng Zhang, Zice Qiu, Donghua Yu +4
In continual visual question answering (VQA), existing Continual Learning (CL) methods are mostly built for symmetric, unimodal architectures. However, modern Vision-Language Model…
cs.CV2026
SAGE: Style-Adaptive Generalization for Privacy-Constrained Semantic Segmentation Across Domains
Qingmei Li, Yang Zhang, Peifeng Zhang +2
Domain generalization for semantic segmentation aims to mitigate the degradation in model performance caused by domain shifts. However, in many real-world scenarios, we are unable…
cs.CV2025
GALA: A GlobAl-LocAl Approach for Multi-Source Active Domain Adaptation
Juepeng Zheng, Peifeng Zhang, Yibin Wen +3
Domain Adaptation (DA) provides an effective way to tackle target-domain tasks by leveraging knowledge learned from source domains. Recent studies have extended this paradigm to Mu…