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 81–90 of 107 papers

TitleStatusHype
Investigating the Challenges of Class Imbalance and Scale Variation in Object Detection in Aerial Images—0
Object Detection in Aerial Images: What Improves the Accuracy?—0
Sampling Equivariant Self-attention Networks for Object Detection in Aerial Images—0
RelationRS: Relationship Representation Network for Object Detection in Aerial Images—0
Experience feedback using Representation Learning for Few-Shot Object Detection on Aerial ImagesCode0
Oriented Object Detection in Aerial Images Based on Area Ratio of Parallelogram—0
Optimizing Data Processing in Space for Object Detection in Satellite Imagery—0
Learning High-Precision Bounding Box for Rotated Object Detection via Kullback-Leibler Divergence—0
Artificial and beneficial -- Exploiting artificial images for aerial vehicle detection—0
Rethinking Rotated Object Detection with Gaussian Wasserstein Distance Loss—0
Show:102550
← PrevPage 9 of 11Next →

No leaderboard results yet.