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A Deep Dive of Autoencoder Models on Low-Contrast Aquatic Images
Public aquariums and similar institutions often use video as a method to monitor the behavior, health, and status of aquatic organisms in their environments. These video footages take up a sizeable amount of space and require the use of autoencoders to reduce their file size for efficient storage. T...
| Autores principales: | , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
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MDPI
2021
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| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8347128/ https://www.ncbi.nlm.nih.gov/pubmed/34372202 http://dx.doi.org/10.3390/s21154966 |