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 71–80 of 107 papers

TitleStatusHype
Language-guided Learning for Object Detection Tackling Multiple Variations in Aerial Images—0
Rotated Object Detection via Scale-invariant Mahalanobis Distance in Aerial Images—0
Analysis and Adaptation of YOLOv4 for Object Detection in Aerial Images—0
Salience Biased Loss for Object Detection in Aerial Images—0
CRPN-SFNet: A High-Performance Object Detector on Large-Scale Remote Sensing Images—0
Category-Aware Dynamic Label Assignment with High-Quality Oriented Proposal—0
MKIoU Loss: Towards Accurate Oriented Object Detection in Aerial Images—0
AMRNet: Chips Augmentation in Aerial Images Object Detection—0
Object Detection in Aerial Images in Scarce Data Regimes—0
Object Detection in Aerial Images: What Improves the Accuracy?—0
Show:102550
← PrevPage 8 of 11Next →

No leaderboard results yet.