5 papers
UHR-DETR: Efficient End-to-End Small Object Detection for Ultra-High-Resolution Remote Sensing Imagery
Jingfang Li, Haoran Zhu, Wen Yang +4
Ultra-High-Resolution (UHR) imagery has become essential for modern remote sensing, offering unprecedented spatial coverage. However, detecting small objects in such vast scenes pr…
Generalized Small Object Detection:A Point-Prompted Paradigm and Benchmark
Haoran Zhu, Wen Yang, Guangyou Yang +5
Small object detection (SOD) remains challenging due to extremely limited pixels and ambiguous object boundaries. These characteristics lead to challenging annotation, limited avai…
Unifying UAV Cross-View Geo-Localization via 3D Geometric Perception
Haoyuan Li, Wen Yang, Fang Xu +4
Cross-view geo-localization for Unmanned Aerial Vehicles (UAVs) operating in GNSS-denied environments remains challenging due to the severe geometric discrepancy between oblique UA…
Tiny Object Detection with Single Point Supervision
Haoran Zhu, Chang Xu, Ruixiang Zhang +4
Tiny objects, with their limited spatial resolution, often resemble point-like distributions. As a result, bounding box prediction using point-level supervision emerges as a natura…
Unsupervised Multi-view UAV Image Geo-localization via Iterative Rendering
Haoyuan Li, Chang Xu, Wen Yang +3
Unmanned Aerial Vehicle (UAV) Cross-View Geo-Localization (CVGL) presents significant challenges due to the view discrepancy between oblique UAV images and overhead satellite image…