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Object Detection In Aerial Images

Object Detection in Aerial Images is the task of detecting objects from aerial images.

( Image credit: DOTA: A Large-Scale Dataset for Object Detection in Aerial Images )

Papers

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Showing 51–60 of 107 papers

TitleStatusHype
PIoU Loss: Towards Accurate Oriented Object Detection in Complex EnvironmentsCode1
Dynamic Refinement Network for Oriented and Densely Packed Object DetectionCode1
LandCover.ai: Dataset for Automatic Mapping of Buildings, Woodlands, Water and Roads from Aerial ImageryCode1
SCRDet++: Detecting Small, Cluttered and Rotated Objects via Instance-Level Feature Denoising and Rotation Loss SmoothingCode1
Density Map Guided Object Detection in Aerial ImagesCode1
R3Det: Refined Single-Stage Detector with Feature Refinement for Rotating ObjectCode1
Learning RoI Transformer for Oriented Object Detection in Aerial ImagesCode1
SCRDet: Towards More Robust Detection for Small, Cluttered and Rotated ObjectsCode1
DOTA: A Large-scale Dataset for Object Detection in Aerial ImagesCode1
Language-guided Learning for Object Detection Tackling Multiple Variations in Aerial Images—0
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