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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
VME: A Satellite Imagery Dataset and Benchmark for Detecting Vehicles in the Middle East and BeyondCode0
PP-YOLOE-R: An Efficient Anchor-Free Rotated Object DetectorCode0
Robust Tiny Object Detection in Aerial Images amidst Label NoiseCode0
Rethinking Rotated Object Detection with Gaussian Wasserstein Distance LossCode0
DroNet: Efficient convolutional neural network detector for real-time UAV applicationsCode0
Experience feedback using Representation Learning for Few-Shot Object Detection on Aerial ImagesCode0
Learning High-Precision Bounding Box for Rotated Object Detection via Kullback-Leibler DivergenceCode0
Learning Modulated Loss for Rotated Object DetectionCode0
Learning RoI Transformer for Detecting Oriented Objects in Aerial ImagesCode0
ABFL: Angular Boundary Discontinuity Free Loss for Arbitrary Oriented Object Detection in Aerial ImagesCode0
Aerial Image Object Detection With Vision Transformer Detector (ViTDet)Code0
xView: Objects in Context in Overhead ImageryCode0
Clustered Object Detection in Aerial ImagesCode0
Gliding vertex on the horizontal bounding box for multi-oriented object detectionCode0
OASL: Orientation-aware adaptive sampling learning for arbitrary oriented object detectionCode0
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
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
Sampling Equivariant Self-attention Networks for Object Detection in 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
Focus-and-Detect: A Small Object Detection Framework for Aerial Images—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
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
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