Marine-tree: A Large-scale Hierarchically Annotated Dataset for Marine Organism Classification. Boone-Sifuentes, T., Nazari, A., Razzak, I., Bouadjenek, M. R., Robles-Kelly, A., Ierodiaconou, D., & Oh, E. S. In Proceedings of the 31th ACM International Conference on Information & Knowledge Management, of CIKM '22, New York, NY, USA, 2022. Association for Computing Machinery.
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Paper doi bibtex 2 downloads
Paper Paper doi bibtex 2 downloads @inproceedings{marine-tree,
author = {Boone-Sifuentes, Tanya and Nazari, Asef and Razzak, Imran and Bouadjenek, Mohamed Reda and Robles-Kelly, Antonio and Ierodiaconou, Daniel and Oh, Elizabeth S. },
title = "{Marine-tree: A Large-scale Hierarchically Annotated Dataset for Marine Organism Classification}",
year = {2022},
isbn = {978-1-4503-9236-5/22/10},
publisher = {Association for Computing Machinery},
address = {New York, NY, USA},
url = {https://doi.org/10.1145/3511808.3557634},
doi = {10.1145/3511808.3557634},
booktitle = {Proceedings of the 31th ACM International Conference on Information \& Knowledge Management},
numpages = {5},
keywords = {Hierarchical Image Classification, Convolutional Neural Networks, Deep Learning, Marine Image Classification.},
location = {Atlanta, GA, USA},
series = {CIKM '22},
url_paper = {https://rbouadjenek.github.io/papers/sp0760.pdf}
}Downloads: 2
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