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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 11–20 of 107 papers

TitleStatusHype
YOLC: You Only Look Clusters for Tiny Object Detection in Aerial ImagesCode2
Large Selective Kernel Network for Remote Sensing Object DetectionCode2
Task-wise Sampling Convolutions for Arbitrary-Oriented Object Detection in Aerial ImagesCode2
Advancing Plain Vision Transformer Towards Remote Sensing Foundation ModelCode2
An Empirical Study of Remote Sensing PretrainingCode2
The KFIoU Loss for Rotated Object DetectionCode2
On the Arbitrary-Oriented Object Detection: Classification based Approaches RevisitedCode2
HA-RDet: Hybrid Anchor Rotation Detector for Oriented Object DetectionCode1
DecoupleNet: A Lightweight Backbone Network With Efficient Feature Decoupling for Remote Sensing Visual TasksCode1
Enhancing Fine-grained Object Detection in Aerial Images via Orthogonal MappingCode1
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