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 31–40 of 107 papers

TitleStatusHype
Detecting tiny objects in aerial images: A normalized Wasserstein distance and a new benchmarkCode1
Learning to Reduce Information Bottleneck for Object Detection in Aerial ImagesCode1
Anchor Retouching via Model Interaction for Robust Object Detection in Aerial ImagesCode1
DARDet: A Dense Anchor-free Rotated Object Detector in Aerial ImagesCode1
A General Gaussian Heatmap Label Assignment for Arbitrary-Oriented Object DetectionCode1
Oriented R-CNN for Object DetectionCode1
Beyond Bounding-Box: Convex-Hull Feature Adaptation for Oriented and Densely Packed Object DetectionCode1
Oriented RepPoints for Aerial Object DetectionCode1
TricubeNet: 2D Kernel-Based Object Representation for Weakly-Occluded Oriented Object DetectionCode1
Optimization for Arbitrary-Oriented Object Detection via Representation Invariance LossCode1
Show:102550
← PrevPage 4 of 11Next →

No leaderboard results yet.