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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
Adaptive Period Embedding for Representing Oriented Objects in Aerial Images—0
Accelerating Deep Learning Applications in Space—0
Point RCNN: An Angle-Free Framework for Rotated Object Detection—0
PolarDet: A Fast, More Precise Detector for Rotated Target in Aerial Images—0
PP-YOLOE-R: An Efficient Anchor-Free Rotated Object Detector—0
Artificial and beneficial -- Exploiting artificial images for aerial vehicle detection—0
A Billion-scale Foundation Model for Remote Sensing Images—0
Tiny Object Detection with Single Point Supervision—0
RelationRS: Relationship Representation Network for Object Detection in Aerial Images—0
EAutoDet: Efficient Architecture Search for Object Detection—0
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