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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
Learning Calibrated-Guidance for Object Detection in Aerial ImagesCode1
ReDet: A Rotation-equivariant Detector for Aerial Object DetectionCode1
Object Detection in Aerial Images: A Large-Scale Benchmark and ChallengesCode1
CFC-Net: A Critical Feature Capturing Network for Arbitrary-Oriented Object Detection in Remote Sensing ImagesCode1
Tiny Object Detection in Aerial ImagesCode1
Dynamic Anchor Learning for Arbitrary-Oriented Object DetectionCode1
Dense Label Encoding for Boundary Discontinuity Free Rotation DetectionCode1
Single-Stage Rotation-Decoupled Detector for Oriented ObjectCode1
Align Deep Features for Oriented Object DetectionCode1
Oriented Object Detection in Aerial Images with Box Boundary-Aware VectorsCode1
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