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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 41–50 of 107 papers

TitleStatusHype
A General Gaussian Heatmap Label Assignment for Arbitrary-Oriented Object DetectionCode1
Learning to Reduce Information Bottleneck for Object Detection in Aerial ImagesCode1
Dynamic Refinement Network for Oriented and Densely Packed Object DetectionCode1
CFC-Net: A Critical Feature Capturing Network for Arbitrary-Oriented Object Detection in Remote Sensing ImagesCode1
R3Det: Refined Single-Stage Detector with Feature Refinement for Rotating ObjectCode1
LandCover.ai: Dataset for Automatic Mapping of Buildings, Woodlands, Water and Roads from Aerial ImageryCode1
Dynamic Anchor Learning for Arbitrary-Oriented Object DetectionCode1
Oriented R-CNN for Object DetectionCode1
Oriented RepPoints for Aerial Object DetectionCode1
DOTA: A Large-scale Dataset for Object Detection in Aerial ImagesCode1
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