AGMG-Net: Leveraging multiscale and fine-grained features for improved cargo recognition

AGMG-Net: Leveraging multiscale and fine-grained features for improved cargo recognition

Security systems place great emphasis on the safety of stored cargo, as any loss or tampering can result in significant economic damage. The cargo identification module within the security system faces the challenge of achieving a 99.99% recognition accuracy. However, current identification methods...

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Bibliographic Details
Main Authors: Aigou Li, Chen Yang
Format: Article
Language:English
Published: AIMS Press 2023-08-01
Series:Mathematical Biosciences and Engineering
Subjects:
computer vision
cargo identification
security system
attention guidance
multi-branch network
Online Access:https://www.aimspress.com/article/doi/10.3934/mbe.2023746?viewType=HTML

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https://www.aimspress.com/article/doi/10.3934/mbe.2023746?viewType=HTML

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