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
RSVideo, a reinforcement learning framework for small-target spatiotemporal focusing that selects question-relevant regions across frames and suppresses redundant background tokens is proposed, a reinforcement learning framework for small-target spatiotemporal focusing that selects question-relevant regions across fram...
Hong-Jie Zhou, Shiqin Wang, Haoyang Chen et al.· 1 citation
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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