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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
LEGNet: Lightweight Edge-Gaussian Driven Network for Low-Quality Remote Sensing Image Object DetectionCode2
YOLC: You Only Look Clusters for Tiny Object Detection in Aerial ImagesCode2
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
Projecting Points to Axes: Oriented Object Detection via Point-Axis RepresentationCode2
Task-wise Sampling Convolutions for Arbitrary-Oriented Object Detection in Aerial ImagesCode2
Anchor Retouching via Model Interaction for Robust Object Detection in Aerial ImagesCode1
Adaptive Rotated Convolution for Rotated Object DetectionCode1
Density Map Guided Object Detection in Aerial ImagesCode1
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