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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 76–100 of 107 papers

TitleStatusHype
Object Detection in Aerial Images: What Improves the Accuracy?—0
Object Detection in Aerial Images with Uncertainty-Aware Graph Network—0
Translation, Scale and Rotation: Cross-Modal Alignment Meets RGB-Infrared Vehicle Detection—0
Optimizing Data Processing in Space for Object Detection in Satellite Imagery—0
Sampling Equivariant Self-attention Networks for Object Detection in Aerial Images—0
Oriented Objects as pairs of Middle Lines—0
Adaptive Period Embedding for Representing Oriented Objects in Aerial Images—0
Accelerating Deep Learning Applications in Space—0
Point RCNN: An Angle-Free Framework for Rotated Object Detection—0
PolarDet: A Fast, More Precise Detector for Rotated Target in Aerial Images—0
PP-YOLOE-R: An Efficient Anchor-Free Rotated Object Detector—0
Artificial and beneficial -- Exploiting artificial images for aerial vehicle detection—0
A Billion-scale Foundation Model for Remote Sensing Images—0
Tiny Object Detection with Single Point Supervision—0
RelationRS: Relationship Representation Network for Object Detection in Aerial Images—0
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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