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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 1–50 of 107 papers

TitleStatusHype
Language-guided Learning for Object Detection Tackling Multiple Variations in Aerial Images—0
VME: A Satellite Imagery Dataset and Benchmark for Detecting Vehicles in the Middle East and BeyondCode0
self-prompting analogical reasoning for uav object detectionCode2
LEGNet: Lightweight Edge-Gaussian Driven Network for Low-Quality Remote Sensing Image Object DetectionCode2
LWGANet: A Lightweight Group Attention Backbone for Remote Sensing Visual TasksCode2
Strip R-CNN: Large Strip Convolution for Remote Sensing Object DetectionCode4
HA-RDet: Hybrid Anchor Rotation Detector for Oriented Object DetectionCode1
Tiny Object Detection with Single Point Supervision—0
DecoupleNet: A Lightweight Backbone Network With Efficient Feature Decoupling for Remote Sensing Visual TasksCode1
Cross-Layer Feature Pyramid Transformer for Small Object Detection in Aerial ImagesCode2
Enhancing Fine-grained Object Detection in Aerial Images via Orthogonal MappingCode1
Projecting Points to Axes: Oriented Object Detection via Point-Axis RepresentationCode2
Category-Aware Dynamic Label Assignment with High-Quality Oriented Proposal—0
Scaling Efficient Masked Image Modeling on Large Remote Sensing DatasetCode2
YOLC: You Only Look Clusters for Tiny Object Detection in Aerial ImagesCode2
FlightScope: An Experimental Comparative Review of Aircraft Detection Algorithms in Satellite ImageryCode1
OASL: Orientation-aware adaptive sampling learning for arbitrary oriented object detectionCode0
MTP: Advancing Remote Sensing Foundation Model via Multi-Task PretrainingCode3
LSKNet: A Foundation Lightweight Backbone for Remote SensingCode4
Robust Tiny Object Detection in Aerial Images amidst Label NoiseCode0
CLIP-Guided Source-Free Object Detection in Aerial ImagesCode1
ABFL: Angular Boundary Discontinuity Free Loss for Arbitrary Oriented Object Detection in Aerial ImagesCode0
Toward Open Vocabulary Aerial Object Detection with CLIP-Activated Student-Teacher LearningCode1
Object Detection in Aerial Images in Scarce Data Regimes—0
MoCaE: Mixture of Calibrated Experts Significantly Improves Object DetectionCode1
On the Robustness of Object Detection Models on Aerial ImagesCode1
Spatial Transform Decoupling for Oriented Object DetectionCode1
Density Crop-guided Semi-supervised Object Detection in Aerial ImagesCode1
A Robust Feature Downsampling Module for Remote Sensing Visual TasksCode1
Hausdorff Distance Matching with Adaptive Query Denoising for Rotated Detection TransformerCode1
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
MKIoU Loss: Towards Accurate Oriented Object Detection in Aerial Images—0
Detecting tiny objects in aerial images: A normalized Wasserstein distance and a new benchmarkCode1
0/1 Deep Neural Networks via Block Coordinate Descent—0
Point RCNN: An Angle-Free Framework for Rotated Object Detection—0
An Empirical Study of Remote Sensing PretrainingCode2
Learning to Reduce Information Bottleneck for Object Detection in Aerial ImagesCode1
Rotated Object Detection via Scale-invariant Mahalanobis Distance in Aerial Images—0
Few Could Be Better Than All: Feature Sampling and Grouping for Scene Text Detection—0
Focus-and-Detect: A Small Object Detection Framework for Aerial Images—0
EAutoDet: Efficient Architecture Search for Object Detection—0
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