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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 41–50 of 107 papers

TitleStatusHype
Align Deep Features for Oriented Object DetectionCode1
Optimization for Arbitrary-Oriented Object Detection via Representation Invariance LossCode1
Object Detection in Aerial Images: A Large-Scale Benchmark and ChallengesCode1
CFC-Net: A Critical Feature Capturing Network for Arbitrary-Oriented Object Detection in Remote Sensing ImagesCode1
CLIP-Guided Source-Free Object Detection in Aerial ImagesCode1
LandCover.ai: Dataset for Automatic Mapping of Buildings, Woodlands, Water and Roads from Aerial ImageryCode1
Dynamic Anchor Learning for Arbitrary-Oriented Object DetectionCode1
Learning to Reduce Information Bottleneck for Object Detection in Aerial ImagesCode1
DOTA: A Large-scale Dataset for Object Detection in Aerial ImagesCode1
Detecting tiny objects in aerial images: A normalized Wasserstein distance and a new benchmarkCode1
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