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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 81–90 of 107 papers

TitleStatusHype
Oriented Objects as pairs of Middle Lines—0
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
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