Home ›
Entities
› academia
› Automatic fish species classification in underwater videos: exploiting pre-trained deep neural network models to compensate for limited labelled data
Automatic fish species classification in underwater videos: exploiting pre-trained deep neural network models to compensate for limited labelled data
Research article (ICES Journal of Marine Science, 2017) · cited 247× · AI/ML
Automatic fish species classification in underwater videos: exploiting pre-trained deep neural network models to compensate for limited labelled data
Summary
Automatic fish species classification in underwater videos: exploiting pre-trained deep neural network models to compensate for limited labelled data is a scholarly article[1].
Key Facts
Automatic fish species classification in underwater videos: exploiting pre-trained deep neural network models to compensate for limited labelled data's instance of is recorded as scholarly article[2].
References
Programmatic citations — every numbered marker resolves to a verifiable graph row below.
Use these citations when quoting this entity in research, articles, AI prompts, or wherever provenance matters. We aggregate Wikidata + Wikipedia + authoritative open-data sources; the stitched, scored, cross-referenced view is what 4ort.xyz contributes.
APA4ort.xyz Knowledge Graph. (2026). Automatic fish species classification in underwater videos: exploiting pre-trained deep neural network models to compensate for limited labelled data. Retrieved May 24, 2026, from https://4ort.xyz/entity/automatic-fish-species-classification-in-underwater-videos-exploiting-pre-trained-deep-neural-network-models-to-compensa
MLA“Automatic fish species classification in underwater videos: exploiting pre-trained deep neural network models to compensate for limited labelled data.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/automatic-fish-species-classification-in-underwater-videos-exploiting-pre-trained-deep-neural-network-models-to-compensa.
BibTeX@misc{4ortxyz_automatic-fish-species-classification-in-underwater-videos-exploiting-pre-trained-deep-neural-network-models-to-compensa_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Automatic fish species classification in underwater videos: exploiting pre-trained deep neural network models to compensate for limited labelled data}}, year = {2026}, url = {https://4ort.xyz/entity/automatic-fish-species-classification-in-underwater-videos-exploiting-pre-trained-deep-neural-network-models-to-compensa}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Automatic fish species classification in underwater videos: exploiting pre-trained deep neural network models to compensate for limited labelled data — https://4ort.xyz/entity/automatic-fish-species-classification-in-underwater-videos-exploiting-pre-trained-deep-neural-network-models-to-compensa (retrieved 2026-05-24)