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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
xView: Objects in Context in Overhead ImageryCode0
Clustered Object Detection in Aerial ImagesCode0
Gliding vertex on the horizontal bounding box for multi-oriented object detectionCode0
OASL: Orientation-aware adaptive sampling learning for arbitrary oriented object detectionCode0
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
Few Could Be Better Than All: Feature Sampling and Grouping for Scene Text Detection—0
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