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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 51–100 of 107 papers

TitleStatusHype
SCRDet: Towards More Robust Detection for Small, Cluttered and Rotated ObjectsCode1
R3Det: Refined Single-Stage Detector with Feature Refinement for Rotating ObjectCode1
ReDet: A Rotation-equivariant Detector for Aerial Object DetectionCode1
Hausdorff Distance Matching with Adaptive Query Denoising for Rotated Detection TransformerCode1
SCRDet++: Detecting Small, Cluttered and Rotated Objects via Instance-Level Feature Denoising and Rotation Loss SmoothingCode1
Single-Stage Rotation-Decoupled Detector for Oriented ObjectCode1
Spatial Transform Decoupling for Oriented Object DetectionCode1
Tiny Object Detection in Aerial ImagesCode1
TricubeNet: 2D Kernel-Based Object Representation for Weakly-Occluded Oriented Object DetectionCode1
Oriented Object Detection in Aerial Images Based on Area Ratio of Parallelogram—0
MRDet: A Multi-Head Network for Accurate Oriented Object Detection in Aerial Images—0
Axis Learning for Orientated Objects Detection in Aerial Images—0
RelationRS: Relationship Representation Network for Object Detection in Aerial Images—0
EAutoDet: Efficient Architecture Search for Object Detection—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
Towards Multi-class Object Detection in Unconstrained Remote Sensing Imagery—0
IENet: Interacting Embranchment One Stage Anchor Free Detector for Orientation Aerial Object Detection—0
Investigating the Challenges of Class Imbalance and Scale Variation in Object Detection in Aerial Images—0
Language-guided Learning for Object Detection Tackling Multiple Variations in Aerial Images—0
Rotated Object Detection via Scale-invariant Mahalanobis Distance in Aerial Images—0
Analysis and Adaptation of YOLOv4 for Object Detection in Aerial Images—0
Salience Biased Loss for Object Detection in Aerial Images—0
CRPN-SFNet: A High-Performance Object Detector on Large-Scale Remote Sensing Images—0
Category-Aware Dynamic Label Assignment with High-Quality Oriented Proposal—0
MKIoU Loss: Towards Accurate Oriented Object Detection in Aerial Images—0
AMRNet: Chips Augmentation in Aerial Images Object Detection—0
Object Detection in Aerial Images in Scarce Data Regimes—0
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
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
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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