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cs.CV2026
RIDGE: Region-Informed Derivative-Guided Evidence Selection for Long Video Understanding
Shanqing Xu, Meng Luo, Mengchen Qian +7
Long videos contain far more visual content than Large Vision-Language Models (LVLMs) can process under a fixed visual-token budget, making frame selection essential. Existing quer…
cs.CV2026
MedReaMM: Evaluating Large Multimodal Models on Expert-Level Clinical Diagnostic Synthesis
Lai Wei, Yuchao Chen, Zhenbiao Cao +5
The application of Large Language Models (LLMs) to diagnostic decision-making has garnered growing interest. However, existing benchmarks largely focus on textual reasoning or isol…
cs.CV2026
ViCrop-Det: Spatial Attention Entropy Guided Cropping for Training-Free Small-Object Detection
Hui Wang, Hongze Li, Wei Chen +1
Transformer-based architectures have established a dominant paradigm in global semantic perception; however, they remain fundamentally constrained by the profound spatial heterogen…