SOTAVerified

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

Recently AddedMost HypedMost ActiveNeeds VerificationMost Verified

Showing 1–25 of 107 papers

TitleStatusHype
Strip R-CNN: Large Strip Convolution for Remote Sensing Object DetectionCode4
LSKNet: A Foundation Lightweight Backbone for Remote SensingCode4
RTMDet: An Empirical Study of Designing Real-Time Object DetectorsCode4
MTP: Advancing Remote Sensing Foundation Model via Multi-Task PretrainingCode3
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
Cross-Layer Feature Pyramid Transformer for Small Object Detection in Aerial ImagesCode2
Projecting Points to Axes: Oriented Object Detection via Point-Axis RepresentationCode2
Scaling Efficient Masked Image Modeling on Large Remote Sensing DatasetCode2
YOLC: You Only Look Clusters for Tiny Object Detection in Aerial ImagesCode2
Large Selective Kernel Network for Remote Sensing Object DetectionCode2
Task-wise Sampling Convolutions for Arbitrary-Oriented Object Detection in Aerial ImagesCode2
Advancing Plain Vision Transformer Towards Remote Sensing Foundation ModelCode2
An Empirical Study of Remote Sensing PretrainingCode2
The KFIoU Loss for Rotated Object DetectionCode2
On the Arbitrary-Oriented Object Detection: Classification based Approaches RevisitedCode2
HA-RDet: Hybrid Anchor Rotation Detector for Oriented Object DetectionCode1
DecoupleNet: A Lightweight Backbone Network With Efficient Feature Decoupling for Remote Sensing Visual TasksCode1
Enhancing Fine-grained Object Detection in Aerial Images via Orthogonal MappingCode1
FlightScope: An Experimental Comparative Review of Aircraft Detection Algorithms in Satellite ImageryCode1
CLIP-Guided Source-Free Object Detection in Aerial ImagesCode1
Toward Open Vocabulary Aerial Object Detection with CLIP-Activated Student-Teacher LearningCode1
MoCaE: Mixture of Calibrated Experts Significantly Improves Object DetectionCode1
On the Robustness of Object Detection Models on Aerial ImagesCode1
Show:102550
← PrevPage 1 of 5Next →

No leaderboard results yet.