AquaticCLIP: A Vision-Language Foundation Model and Dataset for Underwater Scene Analysis
- DOI
- 10.1109/tnnls.2026.3657138
- Published
- 2026-08
- Container
- IEEE Transactions on Neural Networks and Learning Systems
- Publisher
- Institute of Electrical and Electronics Engineers (IEEE)
- Open access
- unknown
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Cite this work
BibTeX
@article{allodium:10.1109/tnnls.2026.3657138,
title = {AquaticCLIP: A Vision-Language Foundation Model and Dataset for Underwater Scene Analysis},
author = {Basit Alawode and Iyyakutti Iyappan Ganapathi and Sajid Javed and Mohammed Bennamoun and Arif Mahmood},
year = {2026},
journal = {IEEE Transactions on Neural Networks and Learning Systems},
doi = {10.1109/tnnls.2026.3657138},
url = {https://doi.org/10.1109/tnnls.2026.3657138}
}RIS
TY - JOUR TI - AquaticCLIP: A Vision-Language Foundation Model and Dataset for Underwater Scene Analysis AU - Basit Alawode AU - Iyyakutti Iyappan Ganapathi AU - Sajid Javed AU - Mohammed Bennamoun AU - Arif Mahmood PY - 2026 JO - IEEE Transactions on Neural Networks and Learning Systems DO - 10.1109/tnnls.2026.3657138 UR - https://doi.org/10.1109/tnnls.2026.3657138 ER -
APA
Alawode, B., Ganapathi, I. I., Javed, S., Bennamoun, M., & Mahmood, A. (2026). AquaticCLIP: A Vision-Language Foundation Model and Dataset for Underwater Scene Analysis. IEEE Transactions on Neural Networks and Learning Systems. https://doi.org/10.1109/tnnls.2026.3657138
Source records
- crossref · retrieved 2026-09-25T12:31:14.306Z