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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
Projecting Points to Axes: Oriented Object Detection via Point-Axis RepresentationCode2
LEGNet: Lightweight Edge-Gaussian Driven Network for Low-Quality Remote Sensing Image Object DetectionCode2
An Empirical Study of Remote Sensing PretrainingCode2
On the Arbitrary-Oriented Object Detection: Classification based Approaches RevisitedCode2
Large Selective Kernel Network for Remote Sensing Object DetectionCode2
Task-wise Sampling Convolutions for Arbitrary-Oriented Object Detection in Aerial ImagesCode2
LWGANet: A Lightweight Group Attention Backbone for Remote Sensing Visual TasksCode2
Anchor Retouching via Model Interaction for Robust Object Detection in Aerial ImagesCode1
Adaptive Rotated Convolution for Rotated Object DetectionCode1
DecoupleNet: A Lightweight Backbone Network With Efficient Feature Decoupling for Remote Sensing Visual TasksCode1
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