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Conference Open access Sep 2026

DeepVitminC at Sci-ImageMiner 2026 Tasks 3&4: Structured Context Augmentation for Scientific Figure Reasoning

Scientific figures encode critical experimental findings that are often not fully captured in textual descriptions. Despite recent advances in MLLMs, their performance on domain-specific scientific figures remains limited due to insufficient grounding in relevant context. In this work, we focus on in Task 3 (summarizat...

Xiaole Lv, Wei Wu, Yang Tan et al. · 0 citations
#computer vision Review Aug 2026

Learning to Look Again: Loss-Gap Supervision for Free-form Crop Routing in Vision-Language Models

GapSight is proposed, a framework for learning visual re-reading: a VLM first takes a global glance, then selectively returns to a free-form region when the question calls for local evidence, and Mechanism analyses show that the router rescues concrete wrong answers, adapts its action rate by task, and forms a favorabl...

Jin-Chang Zhu, Rong Fu, Yi-Cheng Ding et al. · 1 citation

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