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cs.CV2026
Self-Supervised Topologically Invariant Manifold Learning for Railway Image Quality Assessment
Tingqiong Cui, Yibu Yang, Yang Li +6
Existing blind image quality assessment (BIQA) methods typically rely on synthetic distortions and subjective annotations, limiting generalization in real-world domains. To address…
cs.CV2026
Multi-View Synergistic Learning with Vision-Language Adaption for Low-Resource Biomedical Image Classification
Xiaoliu Luo, Minxue Xiao, Ting Xie +5
Accurate biomedical image classification under low-resource conditions remains challenging due to limited annotations, subtle inter-class visual differences, and complex disease se…