Crossmark

Pre-trained models are not enough: active and lifelong learning is important for long-term visual monitoring of mammals in biodiversity research—Individual identification and attribute prediction with image features from deep neural networks and decoupled decision models applied to elephants and great apes

Crossref DOI link: https://doi.org/10.1007/s42991-022-00224-8

Published Online: 2022-04-12

Published Print: 2022-06

Update policy: https://doi.org/10.1007/springer_crossmark_policy

Authors

Bodesheim, Paul http://orcid.org/0000-0002-3564-6528
Blunk, Jan

Körschens, Matthias http://orcid.org/0000-0002-0755-2006
Brust, Clemens-Alexander http://orcid.org/0000-0001-5419-1998
Käding, Christoph http://orcid.org/0000-0001-6655-7766
Denzler, Joachim http://orcid.org/0000-0002-3193-3300
Funding

Funding for this research was provided by:

Friedrich-Schiller-Universität Jena
License Information

Text and Data Mining valid from 2022-04-12

Version of Record valid from 2022-04-12
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Article History

Received: 19 September 2021

Accepted: 31 December 2021

First Online: 12 April 2022

Change Date: 5 November 2022

Change Type: Update

Change Details: Supplementary Information was updated.

Change Date: 31 December 2022

Change Type: Correction

Change Details: A Correction to this paper has been published:

Change Details: https://doi.org/10.1007/s42991-022-00341-4

Declarations

:

: The authors declare that they have no conflict of interest.

Updates are available Correction dated 2022-12-31

Click to view Correction: https://doi.org/10.1007/s42991-022-00341-4