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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 125 of 107 papers

TitleStatusHype
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
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 Supervision0
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 Proposal0
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 Regimes0
MoCaE: Mixture of Calibrated Experts Significantly Improves Object DetectionCode1
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