258 citations · 263 across the 12 of their papers we have counts for
11 papers · 1 filter
Hierarchical Fine-Grained Aerial Object Detection
Yan Zhang, Fang Xu, Wen Yang +1
Fine-grained aerial object detection, driven by the intrinsic granularity of real-world object categories, is crucial for advanced scene understanding in remote sensing. Existing m…
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…
Mask Clustering-based Annotation Engine for Large-Scale Submeter Land Cover Mapping
Hao Chen, Fang Xu, Tamer Saleh +2
Recent advances in remote sensing technology have made submeter resolution imagery increasingly accessible, offering remarkable detail for fine-grained land cover analysis. However…
Unleashing Unlabeled Data: A Paradigm for Cross-View Geo-Localization
Guopeng Li, Ming Qian, Gui-Song Xia
This paper investigates the effective utilization of unlabeled data for large-area cross-view geo-localization (CVGL), encompassing both unsupervised and semi-supervised settings.…