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cs.CV2026
GraSP-VL: Length as a Semantic Granularity Interface for Vision-Language Representations
Zesheng Li, Chengchang Pan, Honggang Qi
Frozen vision-language embeddings contain signals at multiple semantic resolutions, from object identity to attributes, relations, and full-caption meaning, but they expose these s…
cs.CV2025
RURA-Net: A general disease diagnosis method based on Zero-Shot Learning
Yan Su, Qiulin Wu, Weizhen Li +2
The training of deep learning models relies on a large amount of labeled data. However, the high cost of medical labeling seriously hinders the development of deep learning in the…
cs.CV2025
DynSegNet:Dynamic Architecture Adjustment for Adversarial Learning in Segmenting Hemorrhagic Lesions from Fundus Images
Zesheng Li, Minwen Liao, Haoran Chen +3
The hemorrhagic lesion segmentation plays a critical role in ophthalmic diagnosis, directly influencing early disease detection, treatment planning, and therapeutic efficacy evalua…