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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 5175 of 107 papers

TitleStatusHype
PIoU Loss: Towards Accurate Oriented Object Detection in Complex EnvironmentsCode1
Dynamic Refinement Network for Oriented and Densely Packed Object DetectionCode1
LandCover.ai: Dataset for Automatic Mapping of Buildings, Woodlands, Water and Roads from Aerial ImageryCode1
SCRDet++: Detecting Small, Cluttered and Rotated Objects via Instance-Level Feature Denoising and Rotation Loss SmoothingCode1
Density Map Guided Object Detection in Aerial ImagesCode1
R3Det: Refined Single-Stage Detector with Feature Refinement for Rotating ObjectCode1
Learning RoI Transformer for Oriented Object Detection in Aerial ImagesCode1
SCRDet: Towards More Robust Detection for Small, Cluttered and Rotated ObjectsCode1
DOTA: A Large-scale Dataset for Object Detection in Aerial ImagesCode1
Language-guided Learning for Object Detection Tackling Multiple Variations in Aerial Images0
VME: A Satellite Imagery Dataset and Benchmark for Detecting Vehicles in the Middle East and BeyondCode0
Tiny Object Detection with Single Point Supervision0
Category-Aware Dynamic Label Assignment with High-Quality Oriented Proposal0
OASL: Orientation-aware adaptive sampling learning for arbitrary oriented object detectionCode0
Robust Tiny Object Detection in Aerial Images amidst Label NoiseCode0
ABFL: Angular Boundary Discontinuity Free Loss for Arbitrary Oriented Object Detection in Aerial ImagesCode0
Object Detection in Aerial Images in Scarce Data Regimes0
A Billion-scale Foundation Model for Remote Sensing Images0
Aerial Image Object Detection With Vision Transformer Detector (ViTDet)Code0
PP-YOLOE-R: An Efficient Anchor-Free Rotated Object DetectorCode0
Translation, Scale and Rotation: Cross-Modal Alignment Meets RGB-Infrared Vehicle Detection0
Object Detection in Aerial Images with Uncertainty-Aware Graph Network0
MKIoU Loss: Towards Accurate Oriented Object Detection in Aerial Images0
0/1 Deep Neural Networks via Block Coordinate Descent0
Point RCNN: An Angle-Free Framework for Rotated Object Detection0
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