Deep Learning for Underwater Object Detection:A Comprehensive Survey of Models, Datasets, and Challenges

Bhandari, Hari and LIU, PENGCHENG orcid.org/0000-0003-0677-4421 (Accepted: 2026) Deep Learning for Underwater Object Detection:A Comprehensive Survey of Models, Datasets, and Challenges. Robot learning. ISSN: 2960-1436 (In Press)

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Item Type: Article
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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: 19 March 2026
Institution: The University of York
Academic Units: The University of York > Faculty of Sciences (York) > Computer Science (York)
Funding Information:
Funder
Grant number
EPSRC
EP/Y000773/1
Date Deposited: 20 Mar 2026 12:00
Last Modified: 20 Mar 2026 12:00
Status: In Press
Refereed: Yes
Open Archives Initiative ID (OAI ID):

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