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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 71–80 of 107 papers

TitleStatusHype
Translation, Scale and Rotation: Cross-Modal Alignment Meets RGB-Infrared Vehicle Detection—0
Object Detection in Aerial Images with Uncertainty-Aware Graph Network—0
MKIoU Loss: Towards Accurate Oriented Object Detection in Aerial Images—0
0/1 Deep Neural Networks via Block Coordinate Descent—0
Point RCNN: An Angle-Free Framework for Rotated Object Detection—0
Rotated Object Detection via Scale-invariant Mahalanobis Distance in Aerial Images—0
Few Could Be Better Than All: Feature Sampling and Grouping for Scene Text Detection—0
Focus-and-Detect: A Small Object Detection Framework for Aerial Images—0
EAutoDet: Efficient Architecture Search for Object Detection—0
Analysis and Adaptation of YOLOv4 for Object Detection in Aerial Images—0
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