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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 61–70 of 107 papers

TitleStatusHype
Oriented Object Detection in Aerial Images Based on Area Ratio of Parallelogram—0
Oriented R-CNN for Object DetectionCode1
Optimizing Data Processing in Space for Object Detection in Satellite Imagery—0
Beyond Bounding-Box: Convex-Hull Feature Adaptation for Oriented and Densely Packed Object DetectionCode1
Learning High-Precision Bounding Box for Rotated Object Detection via Kullback-Leibler DivergenceCode0
Oriented RepPoints for Aerial Object DetectionCode1
TricubeNet: 2D Kernel-Based Object Representation for Weakly-Occluded Oriented Object DetectionCode1
Artificial and beneficial -- Exploiting artificial images for aerial vehicle detection—0
Optimization for Arbitrary-Oriented Object Detection via Representation Invariance LossCode1
Learning Calibrated-Guidance for Object Detection in Aerial ImagesCode1
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