YOLO-Fine: One-Stage Detector of Small Objects under Various Backgrounds in Remote Sensing Images

YOLO-Fine: One-Stage Detector of Small Objects under Various Backgrounds in Remote Sensing Images

Object detection from aerial and satellite remote sensing images has been an active research topic over the past decade. Thanks to the increase in computational resources and data availability, deep learning-based object detection methods have achieved numerous successes in computer vision, and more...

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Bibliographic Details
Main Authors: Minh-Tan Pham, Luc Courtrai, Chloé Friguet, Sébastien Lefèvre, Alexandre Baussard
Format: Article
Language:English
Published: MDPI AG 2020-08-01
Series:Remote Sensing
Subjects:
small object detection
remote sensing
background variability
deep learning
one-stage detector
Online Access:https://www.mdpi.com/2072-4292/12/15/2501

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https://www.mdpi.com/2072-4292/12/15/2501

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