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cs.CV2026
E2S-Pruner: Progressive Two-Stage Evidence Fusion for Visual Token Pruning in Vision-Language Models
Taoyu Qian, Qi Wang, Daqian Shi +3
Vision-language models typically encode an image into hundreds of visual tokens, incurring substantial inference latency and GPU memory overhead. Existing pruning methods largely r…
cs.CV2026
Logographic Character Visual Pretraining via Semantic-based Contrastive Learning
Daqian Shi, Wei Cao, Xiaoyu Zheng +3
Current deep learning-based character vision studies, e.g., text recognition, character image denoising, and historical text completion, are offering new solutions for learning, ma…