This work proposes SkyAnchor, an MLLM with two designs to the above challenges: a Semantics-Aware Token Router that preserves small-target under a reduced visual-token budget, and a Hierarchical Memory Bank that keeps the target consistently understood on streams.
Unmanned aerial vehicles (UAVs) are used for a wide range of tasks, many of which are autonomous. Since UAVs operate in three-dimensional space, visual data presents a rich source of input for them. Meanwhile, the rapid development of artificial intelligence has given rise to vision-language models (VLMs). These models...
Elena Wachtler, Antonella Barisic Kulas, Tamara Petrović et al.· International Conference on...· 0 citations
Remote-sensing videos enable real-time observation of changes in target attributes, short-term activities, and scene evolution. They record motion, actions, interactions, and scene changes that cannot be captured by isolated images. Existing models primarily target single images or discrete temporal observations spanni...
Hongjie Zhou, Shiqin Wang, Haoyang Chen et al.· 0 citations
This work proposes ARIES-Mission2, a zero-shot Vision-Language-Action (VLA) framework that decouples visual-semantic perception from physical route optimization in low-altitude Unmanned Aerial Vehicle (UAV) mission generation and indicates that the TSP module maintains lower growth in computation time as the number of...
Jun-Hao Wei, Yan-Xiao Li, Hao-Chen Li et al.· 1 citation
Experiments show that SkyVLaM provides a more effective allocation of the visual token budget and improves language-conditioned video segmentation in UAV scenarios.
Kaiwen Jing, Rui-Jian Jia, Bing-Yao Li et al.· arXiv.org· 0 citations
M$^\text{4}$World, a Multi-view and Multimodal generative driving world model that synthesizes future surround-view video streams and synchronized LiDAR scans while supporting interactive object Manipulation and stable Minute-long streaming is presented.
Ke Cheng, Hanqiao Ye, Lei Shi et al.· arXiv.org· 1 citation
UAV-DualCog is presented, a benchmark for aerial multiview spatio-temporal reasoning built on this dual-cognition perspective that includes both image and video tasks to jointly evaluate self-state and environment-state reasoning, while requiring spatial or temporal grounding beyond discrete answer prediction.
Like Liu, Zheng Xu, Haitao He et al.· arXiv.org· 1 citation
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