6 papers · 1 filter
SkyShield: Occupancy as a Safety Interface for Low-Altitude UAV Autonomy
Jie Gao, Jie Ma, Kaihui Lin +4
For low-altitude Unmanned Aerial Vehicle (UAV) autonomy, 3D spatial understanding is not merely a perception objective, but the safety interface between human instructions and phys…
Active-SAOOD: Active Sparsely Annotated Oriented Object Detection in Remote Sensing Images
Yu Lin, Jianghang Lin, Kai Ye +2
Reducing the annotation cost of oriented object detection in remote sensing remains a major challenge. Recently, sparse annotation has gained attention for effectively reducing ann…
Evolving, Not Training: Zero-Shot Reasoning Segmentation via Evolutionary Prompting
Kai Ye, Xiaotong You, Jianghang Lin +3
Reasoning Segmentation requires models to interpret complex, context-dependent linguistic queries to achieve pixel-level localization. Current dominant approaches rely heavily on S…
RIS-LAD: A Benchmark and Model for Referring Low-Altitude Drone Image Segmentation
Kai Ye, YingShi Luan, Zhudi Chen +3
Referring Image Segmentation (RIS), which aims to segment specific objects based on natural language descriptions, plays an essential role in vision-language understanding. Despite…
More Clear, More Flexible, More Precise: A Comprehensive Oriented Object Detection benchmark for UAV
Kai Ye, Haidi Tang, Bowen Liu +3
Applications of unmanned aerial vehicle (UAV) in logistics, agricultural automation, urban management, and emergency response are highly dependent on oriented object detection (OOD…
STeacher: Step-by-step Teacher for Sparsely Annotated Oriented Object Detection
Yu Lin, Jianghang Lin, Kai Ye +5
Although fully-supervised oriented object detection has made significant progress in multimodal remote sensing image understanding, it comes at the cost of labor-intensive annotati…