Article

From video to behaviour: an LSTM-based approach for automated nest behaviour recognition in the wild

2024-10-25

Abstract excerpt

<h4>ABSTRACT</h4> Studies of animal behaviour usually rely on direct observations or manual annotations of video recordings. However, such methods can be very time-consuming and error-prone, leading to sub-optimal sample sizes. Recent advances in deep-learning show great potential to overcome such limitations, nevertheless, most currently available behavioural recognition solutions remain focused on captivity set...

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Literature Corpus work: f421d2c5-c11f-509c-afe2-958de0fc9bec
DOI: 10.1101/2024.10.25.620052

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