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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

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Showing 61–70 of 107 papers

TitleStatusHype
PP-YOLOE-R: An Efficient Anchor-Free Rotated Object DetectorCode0
Robust Tiny Object Detection in Aerial Images amidst Label NoiseCode0
Rethinking Rotated Object Detection with Gaussian Wasserstein Distance LossCode0
DroNet: Efficient convolutional neural network detector for real-time UAV applicationsCode0
Experience feedback using Representation Learning for Few-Shot Object Detection on Aerial ImagesCode0
Learning High-Precision Bounding Box for Rotated Object Detection via Kullback-Leibler DivergenceCode0
Learning Modulated Loss for Rotated Object DetectionCode0
Learning RoI Transformer for Detecting Oriented Objects in Aerial ImagesCode0
ABFL: Angular Boundary Discontinuity Free Loss for Arbitrary Oriented Object Detection in Aerial ImagesCode0
Aerial Image Object Detection With Vision Transformer Detector (ViTDet)Code0
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