Accurate detection of critical infrastructure in high-resolution remote sensing imagery is important for infrastructure inventory, regional monitoring, and risk assessment. However, differences in object scale, spatial density, geometric form, and background complexity make it difficult to evaluate detectors using a si...
Zheng Lu, Ye Wang, Xiao-Dong Huang et al.· Applied Sciences· 0 citations
Multimodal large language models (MLLMs) have demonstrated impressive performance in multimodal understanding, but processing large numbers of visual tokens results in high computational costs. While many methods have been proposed to reduce the number of visual tokens, most of them rely on heuristics and are prone to...
Ting-Hao Wang, Yi-Chen Guo, Qi-Zhe Zhang et al.· 0 citations
Vision-Language Models (VLMs) are far more reliable at recognizing what appears in a video than at reasoning about its spatial and temporal properties, such as metric distances, object dimensions, and consistent object identities across frames. We present Geometric Code, a perception-to-geometry pipeline that computes...
Antonio Jun, Hao-Shui Yu, Zheng Lu et al.· 0 citations
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