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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 81–90 of 107 papers

TitleStatusHype
Single-Stage Rotation-Decoupled Detector for Oriented ObjectCode1
AMRNet: Chips Augmentation in Aerial Images Object Detection—0
Align Deep Features for Oriented Object DetectionCode1
Oriented Object Detection in Aerial Images with Box Boundary-Aware VectorsCode1
Accelerating Deep Learning Applications in Space—0
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
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