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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 51–60 of 107 papers

TitleStatusHype
SCRDet: Towards More Robust Detection for Small, Cluttered and Rotated ObjectsCode1
R3Det: Refined Single-Stage Detector with Feature Refinement for Rotating ObjectCode1
ReDet: A Rotation-equivariant Detector for Aerial Object DetectionCode1
Hausdorff Distance Matching with Adaptive Query Denoising for Rotated Detection TransformerCode1
SCRDet++: Detecting Small, Cluttered and Rotated Objects via Instance-Level Feature Denoising and Rotation Loss SmoothingCode1
Single-Stage Rotation-Decoupled Detector for Oriented ObjectCode1
Spatial Transform Decoupling for Oriented Object DetectionCode1
Tiny Object Detection in Aerial ImagesCode1
TricubeNet: 2D Kernel-Based Object Representation for Weakly-Occluded Oriented Object DetectionCode1
VME: A Satellite Imagery Dataset and Benchmark for Detecting Vehicles in the Middle East and BeyondCode0
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