Automatic plankton image classification—Can capsules and filters help cope with data set shift?-Reference-Cited by-同舟云学术

Automatic plankton image classification—Can capsules and filters help cope with data set shift?

Published:2021-01-18 Issue:3 Volume:19 Page:176-195
ISSN:1541-5856
Container-title:Limnology and Oceanography: Methods
language:en
Short-container-title:Limnol Oceanogr Methods

Author:

Plonus Rene‐Marcel¹²^ORCID,Conradt Jan¹,Harmer André¹,Janßen Silke¹,Floeter Jens¹

Affiliation:

1. Institute of Marine Ecosystem and Fishery Science, Faculty of Mathematics, Informatics and Natural Sciences University of Hamburg Hamburg Germany

2. Present address: Institute of Marine Ecosystem and Fishery Science Hamburg Germany

Publisher

Wiley

Subject

Ocean Engineering

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1002/lom3.10413

Reference63 articles.

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3. Intelligent plankton image classification with deep learning

4. A Global Plankton Diversity Monitoring Program

5. Assessment of ZooImage as a tool for the classification of zooplankton

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