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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
CRPN-SFNet: A High-Performance Object Detector on Large-Scale Remote Sensing Images—0
Category-Aware Dynamic Label Assignment with High-Quality Oriented Proposal—0
MKIoU Loss: Towards Accurate Oriented Object Detection in Aerial Images—0
AMRNet: Chips Augmentation in Aerial Images Object Detection—0
Object Detection in Aerial Images in Scarce Data Regimes—0
Object Detection in Aerial Images: What Improves the Accuracy?—0
Object Detection in Aerial Images with Uncertainty-Aware Graph Network—0
Translation, Scale and Rotation: Cross-Modal Alignment Meets RGB-Infrared Vehicle Detection—0
Optimizing Data Processing in Space for Object Detection in Satellite Imagery—0
Sampling Equivariant Self-attention Networks for Object Detection in Aerial Images—0
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