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
ReDet: A Rotation-equivariant Detector for Aerial Object DetectionCode1
Object Detection in Aerial Images: A Large-Scale Benchmark and ChallengesCode1
Rethinking Rotated Object Detection with Gaussian Wasserstein Distance LossCode0
CFC-Net: A Critical Feature Capturing Network for Arbitrary-Oriented Object Detection in Remote Sensing ImagesCode1
Tiny Object Detection in Aerial ImagesCode1
MRDet: A Multi-Head Network for Accurate Oriented Object Detection in Aerial Images—0
Dynamic Anchor Learning for Arbitrary-Oriented Object DetectionCode1
Dense Label Encoding for Boundary Discontinuity Free Rotation DetectionCode1
CRPN-SFNet: A High-Performance Object Detector on Large-Scale Remote Sensing Images—0
PolarDet: A Fast, More Precise Detector for Rotated Target in Aerial Images—0
Show:102550
← PrevPage 8 of 11Next →

No leaderboard results yet.