Deep learning for underwater object detection: From CNNs to transformer-based real-time solutions

Bhandari, Hari and Liu, Pengcheng orcid.org/0000-0003-0677-4421 (Accepted: 2025) Deep learning for underwater object detection: From CNNs to transformer-based real-time solutions. In: The 30th International Conference on Automation and Computing (ICAC 2025). IEEE (In Press)

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Item Type: Proceedings Paper
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This is an author-produced version of the published paper. Uploaded in accordance with the University’s Research Publications and Open Access policy.
Dates:
  • Accepted: 18 June 2025
Institution: The University of York
Academic Units: The University of York > Faculty of Sciences (York) > Computer Science (York)
Funding Information:
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EPSRC
EP/Y000773/1
Depositing User: Pure (York)
Date Deposited: 24 Jun 2025 16:00
Last Modified: 24 Jun 2025 16:00
Status: In Press
Publisher: IEEE
Open Archives Initiative ID (OAI ID):

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