Discriminative context-aware network for camouflaged object detection

Discriminative context-aware network for camouflaged object detection

IntroductionAnimals use camouflage (background matching, disruptive coloration, etc.) for protection, confusing predators and making detection difficult. Camouflage Object Detection (COD) tackles this challenge by identifying objects seamlessly blended into their surroundings. Existing COD technique...

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Bibliographic Details
Main Authors: Chidiebere Somadina Ike, Nazeer Muhammad, Nargis Bibi, Samah Alhazmi, Furey Eoghan
Format: Article
Language:English
Published: Frontiers Media S.A. 2024-03-01
Series:Frontiers in Artificial Intelligence
Subjects:
camouflage object detection
COD
dataset
feature extraction
benchmark
deep learning
Online Access:https://www.frontiersin.org/articles/10.3389/frai.2024.1347898/full

Internet

https://www.frontiersin.org/articles/10.3389/frai.2024.1347898/full

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