Memory-Augmented Multimodal Large Language Models for Small Object Understanding in Streaming Aerial Videos
Penglei Sun, Yehua Huang, Zhuoli Tao et al.
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PhysMLLMs: Spatial Priors for Unified Referring Segmentation and Grounded Reasoning of Images and Videos
PhysMLLMs is a training-stage prior injection architecture that injects physics-inspired spatial continuity priors into Video MLLMs, demonstrating that the injected spatial prior improves video consistency without compromising image-level grounding or general multimodal capability.
Siyao Yan, Bo Han, Jisheng Dang et al.
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