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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
Analysis and Adaptation of YOLOv4 for Object Detection in Aerial Images—0
Investigating the Challenges of Class Imbalance and Scale Variation in Object Detection in Aerial Images—0
The KFIoU Loss for Rotated Object DetectionCode2
Object Detection in Aerial Images: What Improves the Accuracy?—0
Anchor Retouching via Model Interaction for Robust Object Detection in Aerial ImagesCode1
Sampling Equivariant Self-attention Networks for Object Detection in Aerial Images—0
RelationRS: Relationship Representation Network for Object Detection in Aerial Images—0
DARDet: A Dense Anchor-free Rotated Object Detector in Aerial ImagesCode1
A General Gaussian Heatmap Label Assignment for Arbitrary-Oriented Object DetectionCode1
Experience feedback using Representation Learning for Few-Shot Object Detection on Aerial ImagesCode0
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