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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 91–100 of 107 papers

TitleStatusHype
EAutoDet: Efficient Architecture Search for Object Detection—0
Rethinking Rotated Object Detection with Gaussian Wasserstein Distance Loss—0
Few Could Be Better Than All: Feature Sampling and Grouping for Scene Text Detection—0
0/1 Deep Neural Networks via Block Coordinate Descent—0
Focus-and-Detect: A Small Object Detection Framework for Aerial Images—0
Gliding vertex on the horizontal bounding box for multi-oriented object detection—0
OASL: Orientation-aware adaptive sampling learning for arbitrary oriented object detectionCode0
VME: A Satellite Imagery Dataset and Benchmark for Detecting Vehicles in the Middle East and BeyondCode0
xView: Objects in Context in Overhead ImageryCode0
Clustered Object Detection in Aerial ImagesCode0
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