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 1–10 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
Show:102550
← PrevPage 1 of 11Next →

No leaderboard results yet.