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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
LSKNet: A Foundation Lightweight Backbone for Remote SensingCode4
Strip R-CNN: Large Strip Convolution for Remote Sensing Object DetectionCode4
RTMDet: An Empirical Study of Designing Real-Time Object DetectorsCode4
MTP: Advancing Remote Sensing Foundation Model via Multi-Task PretrainingCode3
Scaling Efficient Masked Image Modeling on Large Remote Sensing DatasetCode2
LEGNet: Lightweight Edge-Gaussian Driven Network for Low-Quality Remote Sensing Image Object DetectionCode2
Advancing Plain Vision Transformer Towards Remote Sensing Foundation ModelCode2
Projecting Points to Axes: Oriented Object Detection via Point-Axis RepresentationCode2
The KFIoU Loss for Rotated Object DetectionCode2
On the Arbitrary-Oriented Object Detection: Classification based Approaches RevisitedCode2
Task-wise Sampling Convolutions for Arbitrary-Oriented Object Detection in Aerial ImagesCode2
LWGANet: A Lightweight Group Attention Backbone for Remote Sensing Visual TasksCode2
Cross-Layer Feature Pyramid Transformer for Small Object Detection in Aerial ImagesCode2
An Empirical Study of Remote Sensing PretrainingCode2
self-prompting analogical reasoning for uav object detectionCode2
YOLC: You Only Look Clusters for Tiny Object Detection in Aerial ImagesCode2
Large Selective Kernel Network for Remote Sensing Object DetectionCode2
Density Crop-guided Semi-supervised Object Detection in Aerial ImagesCode1
Dense Label Encoding for Boundary Discontinuity Free Rotation DetectionCode1
DecoupleNet: A Lightweight Backbone Network With Efficient Feature Decoupling for Remote Sensing Visual TasksCode1
Hausdorff Distance Matching with Adaptive Query Denoising for Rotated Detection TransformerCode1
Learning Calibrated-Guidance for Object Detection in Aerial ImagesCode1
Adaptive Rotated Convolution for Rotated Object DetectionCode1
ReDet: A Rotation-equivariant Detector for Aerial Object DetectionCode1
Anchor Retouching via Model Interaction for Robust Object Detection in Aerial ImagesCode1
DARDet: A Dense Anchor-free Rotated Object Detector in Aerial ImagesCode1
PIoU Loss: Towards Accurate Oriented Object Detection in Complex EnvironmentsCode1
HA-RDet: Hybrid Anchor Rotation Detector for Oriented Object DetectionCode1
Oriented RepPoints for Aerial Object DetectionCode1
Density Map Guided Object Detection in Aerial ImagesCode1
Oriented Object Detection in Aerial Images with Box Boundary-Aware VectorsCode1
Toward Open Vocabulary Aerial Object Detection with CLIP-Activated Student-Teacher LearningCode1
Oriented R-CNN for Object DetectionCode1
SCRDet: Towards More Robust Detection for Small, Cluttered and Rotated ObjectsCode1
Beyond Bounding-Box: Convex-Hull Feature Adaptation for Oriented and Densely Packed Object DetectionCode1
Enhancing Fine-grained Object Detection in Aerial Images via Orthogonal MappingCode1
A General Gaussian Heatmap Label Assignment for Arbitrary-Oriented Object DetectionCode1
Dynamic Refinement Network for Oriented and Densely Packed Object DetectionCode1
Learning RoI Transformer for Oriented Object Detection in Aerial ImagesCode1
FlightScope: An Experimental Comparative Review of Aircraft Detection Algorithms in Satellite ImageryCode1
Align Deep Features for Oriented Object DetectionCode1
Optimization for Arbitrary-Oriented Object Detection via Representation Invariance LossCode1
Object Detection in Aerial Images: A Large-Scale Benchmark and ChallengesCode1
CFC-Net: A Critical Feature Capturing Network for Arbitrary-Oriented Object Detection in Remote Sensing ImagesCode1
CLIP-Guided Source-Free Object Detection in Aerial ImagesCode1
LandCover.ai: Dataset for Automatic Mapping of Buildings, Woodlands, Water and Roads from Aerial ImageryCode1
Dynamic Anchor Learning for Arbitrary-Oriented Object DetectionCode1
Learning to Reduce Information Bottleneck for Object Detection in Aerial ImagesCode1
DOTA: A Large-scale Dataset for Object Detection in Aerial ImagesCode1
Detecting tiny objects in aerial images: A normalized Wasserstein distance and a new benchmarkCode1
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