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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 31–40 of 107 papers

TitleStatusHype
A Billion-scale Foundation Model for Remote Sensing Images—0
Large Selective Kernel Network for Remote Sensing Object DetectionCode2
Adaptive Rotated Convolution for Rotated Object DetectionCode1
Aerial Image Object Detection With Vision Transformer Detector (ViTDet)Code0
RTMDet: An Empirical Study of Designing Real-Time Object DetectorsCode4
PP-YOLOE-R: An Efficient Anchor-Free Rotated Object DetectorCode0
Translation, Scale and Rotation: Cross-Modal Alignment Meets RGB-Infrared Vehicle Detection—0
Task-wise Sampling Convolutions for Arbitrary-Oriented Object Detection in Aerial ImagesCode2
Object Detection in Aerial Images with Uncertainty-Aware Graph Network—0
Advancing Plain Vision Transformer Towards Remote Sensing Foundation ModelCode2
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