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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

Research article (Mammalian Biology, 2022) · cited 20× · AI/ML
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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

Summary

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 is a scholarly article[1].

Key Facts

  • 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's Individual identification and attribute prediction with image features from deep neural networks and decoupled decision models applied to elephants and great apes — instance of is recorded as scholarly article[2].

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Direct Wikidata claims

  1. [2] ↑ . wikidata.org.

Class ancestry

  1. [1] ↑ . Wikidata. wikidata.org.

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APA 4ort.xyz Knowledge Graph. (2026). 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. Retrieved May 24, 2026, from https://4ort.xyz/entity/pre-trained-models-are-not-enough-active-and-lifelong-learning-is-important-for-long-term-visual-monitoring-of-mammals-i
MLA “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.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/pre-trained-models-are-not-enough-active-and-lifelong-learning-is-important-for-long-term-visual-monitoring-of-mammals-i.
BibTeX @misc{4ortxyz_pre-trained-models-are-not-enough-active-and-lifelong-learning-is-important-for-long-term-visual-monitoring-of-mammals-i_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{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}}, year = {2026}, url = {https://4ort.xyz/entity/pre-trained-models-are-not-enough-active-and-lifelong-learning-is-important-for-long-term-visual-monitoring-of-mammals-i}, note = {Accessed: 2026-05-24}}
LLM prompt According to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): 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 — https://4ort.xyz/entity/pre-trained-models-are-not-enough-active-and-lifelong-learning-is-important-for-long-term-visual-monitoring-of-mammals-i (retrieved 2026-05-24)

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