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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 31–40 of 107 papers

TitleStatusHype
Learning Calibrated-Guidance for Object Detection in Aerial ImagesCode1
Align Deep Features for Oriented Object DetectionCode1
Toward Open Vocabulary Aerial Object Detection with CLIP-Activated Student-Teacher LearningCode1
LandCover.ai: Dataset for Automatic Mapping of Buildings, Woodlands, Water and Roads from Aerial ImageryCode1
Object Detection in Aerial Images: A Large-Scale Benchmark and ChallengesCode1
Beyond Bounding-Box: Convex-Hull Feature Adaptation for Oriented and Densely Packed Object DetectionCode1
Enhancing Fine-grained Object Detection in Aerial Images via Orthogonal MappingCode1
A General Gaussian Heatmap Label Assignment for Arbitrary-Oriented Object DetectionCode1
Dynamic Refinement Network for Oriented and Densely Packed Object DetectionCode1
FlightScope: An Experimental Comparative Review of Aircraft Detection Algorithms in Satellite ImageryCode1
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