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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 21–30 of 107 papers

TitleStatusHype
Anchor Retouching via Model Interaction for Robust Object Detection in Aerial ImagesCode1
Adaptive Rotated Convolution for Rotated Object DetectionCode1
Detecting tiny objects in aerial images: A normalized Wasserstein distance and a new benchmarkCode1
Learning Calibrated-Guidance for Object Detection in Aerial ImagesCode1
Learning RoI Transformer for Oriented Object Detection in Aerial ImagesCode1
DARDet: A Dense Anchor-free Rotated Object Detector in Aerial ImagesCode1
CLIP-Guided Source-Free Object Detection in Aerial ImagesCode1
CFC-Net: A Critical Feature Capturing Network for Arbitrary-Oriented Object Detection in Remote Sensing ImagesCode1
FlightScope: An Experimental Comparative Review of Aircraft Detection Algorithms in Satellite ImageryCode1
Align Deep Features for Oriented Object DetectionCode1
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