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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 91–100 of 107 papers

TitleStatusHype
Learning High-Precision Bounding Box for Rotated Object Detection via Kullback-Leibler Divergence—0
Analysis and Adaptation of YOLOv4 for Object Detection in Aerial Images—0
Salience Biased Loss for Object Detection in Aerial Images—0
CRPN-SFNet: A High-Performance Object Detector on Large-Scale Remote Sensing Images—0
Category-Aware Dynamic Label Assignment with High-Quality Oriented Proposal—0
MKIoU Loss: Towards Accurate Oriented Object Detection in Aerial Images—0
Focus-and-Detect: A Small Object Detection Framework for Aerial Images—0
MRDet: A Multi-Head Network for Accurate Oriented Object Detection in Aerial Images—0
Axis Learning for Orientated Objects Detection in Aerial Images—0
AMRNet: Chips Augmentation in Aerial Images Object Detection—0
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