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
Language-guided Learning for Object Detection Tackling Multiple Variations in Aerial Images—0
VME: A Satellite Imagery Dataset and Benchmark for Detecting Vehicles in the Middle East and BeyondCode0
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
Strip R-CNN: Large Strip Convolution for Remote Sensing Object DetectionCode4
HA-RDet: Hybrid Anchor Rotation Detector for Oriented Object DetectionCode1
Tiny Object Detection with Single Point Supervision—0
DecoupleNet: A Lightweight Backbone Network With Efficient Feature Decoupling for Remote Sensing Visual TasksCode1
Cross-Layer Feature Pyramid Transformer for Small Object Detection in Aerial ImagesCode2
Show:102550
← PrevPage 1 of 11Next →

No leaderboard results yet.