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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

Showing 76100 of 107 papers

TitleStatusHype
Category-Aware Dynamic Label Assignment with High-Quality Oriented Proposal0
MKIoU Loss: Towards Accurate Oriented Object Detection in Aerial Images0
AMRNet: Chips Augmentation in Aerial Images Object Detection0
Object Detection in Aerial Images in Scarce Data Regimes0
Object Detection in Aerial Images: What Improves the Accuracy?0
Object Detection in Aerial Images with Uncertainty-Aware Graph Network0
Translation, Scale and Rotation: Cross-Modal Alignment Meets RGB-Infrared Vehicle Detection0
Optimizing Data Processing in Space for Object Detection in Satellite Imagery0
Sampling Equivariant Self-attention Networks for Object Detection in Aerial Images0
Oriented Objects as pairs of Middle Lines0
Adaptive Period Embedding for Representing Oriented Objects in Aerial Images0
Accelerating Deep Learning Applications in Space0
Point RCNN: An Angle-Free Framework for Rotated Object Detection0
PolarDet: A Fast, More Precise Detector for Rotated Target in Aerial Images0
Artificial and beneficial -- Exploiting artificial images for aerial vehicle detection0
A Billion-scale Foundation Model for Remote Sensing Images0
Tiny Object Detection with Single Point Supervision0
OASL: Orientation-aware adaptive sampling learning for arbitrary oriented object detectionCode0
Learning RoI Transformer for Detecting Oriented Objects in Aerial ImagesCode0
PP-YOLOE-R: An Efficient Anchor-Free Rotated Object DetectorCode0
DroNet: Efficient convolutional neural network detector for real-time UAV applicationsCode0
Gliding vertex on the horizontal bounding box for multi-oriented object detectionCode0
xView: Objects in Context in Overhead ImageryCode0
Aerial Image Object Detection With Vision Transformer Detector (ViTDet)Code0
Clustered Object Detection in Aerial ImagesCode0
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