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A Deep-Learning Based Pipeline for Estimating the Abundance and Size of Aquatic Organisms in an Unconstrained Underwater Environment from Continuously Captured Stereo Video
Research article (Sensors, 2023) · cited 20× · AI/ML
A Deep-Learning Based Pipeline for Estimating the Abundance and Size of Aquatic Organisms in an Unconstrained Underwater Environment from Continuously Captured Stereo Video
Summary
A Deep-Learning Based Pipeline for Estimating the Abundance and Size of Aquatic Organisms in an Unconstrained Underwater Environment from Continuously Captured Stereo Video is a scholarly article[1].
Key Facts
A Deep-Learning Based Pipeline for Estimating the Abundance and Size of Aquatic Organisms in an Unconstrained Underwater Environment from Continuously Captured Stereo Video's instance of is recorded as scholarly article[2].
References
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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). A Deep-Learning Based Pipeline for Estimating the Abundance and Size of Aquatic Organisms in an Unconstrained Underwater Environment from Continuously Captured Stereo Video. Retrieved May 24, 2026, from https://4ort.xyz/entity/a-deep-learning-based-pipeline-for-estimating-the-abundance-and-size-of-aquatic-organisms-in-an-unconstrained-underwater
MLA“A Deep-Learning Based Pipeline for Estimating the Abundance and Size of Aquatic Organisms in an Unconstrained Underwater Environment from Continuously Captured Stereo Video.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/a-deep-learning-based-pipeline-for-estimating-the-abundance-and-size-of-aquatic-organisms-in-an-unconstrained-underwater.
BibTeX@misc{4ortxyz_a-deep-learning-based-pipeline-for-estimating-the-abundance-and-size-of-aquatic-organisms-in-an-unconstrained-underwater_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{A Deep-Learning Based Pipeline for Estimating the Abundance and Size of Aquatic Organisms in an Unconstrained Underwater Environment from Continuously Captured Stereo Video}}, year = {2026}, url = {https://4ort.xyz/entity/a-deep-learning-based-pipeline-for-estimating-the-abundance-and-size-of-aquatic-organisms-in-an-unconstrained-underwater}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): A Deep-Learning Based Pipeline for Estimating the Abundance and Size of Aquatic Organisms in an Unconstrained Underwater Environment from Continuously Captured Stereo Video — https://4ort.xyz/entity/a-deep-learning-based-pipeline-for-estimating-the-abundance-and-size-of-aquatic-organisms-in-an-unconstrained-underwater (retrieved 2026-05-24)
