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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
Enhancing Fine-grained Object Detection in Aerial Images via Orthogonal MappingCode1
Adaptive Rotated Convolution for Rotated Object DetectionCode1
FlightScope: An Experimental Comparative Review of Aircraft Detection Algorithms in Satellite ImageryCode1
Learning Calibrated-Guidance for Object Detection in Aerial ImagesCode1
Anchor Retouching via Model Interaction for Robust Object Detection in Aerial ImagesCode1
DARDet: A Dense Anchor-free Rotated Object Detector in Aerial ImagesCode1
Learning RoI Transformer for Oriented Object Detection 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
Dynamic Anchor Learning for Arbitrary-Oriented Object DetectionCode1
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