ArticleMethods in ecology and evolution2023
NAPS: Integrating pose estimation and tag-based tracking.
Article in Methods in ecology and evolution, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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Who cites it
3 citing papers in PubMed.
- Quantitative and systematic behavioral profiling reveals social complexity in eusocial naked mole-rats.Science advances · 2025Article
- Genetic variation influences food-sharing sociability in honey bees.PLoS biology · 2025Article
- Integrating computer vision and molecular neurobiology to bridge the gap between behavior and the brain.Current opinion in insect science · 2024Review
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Authors and funding
9 authors.
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Abstract
1. Significant advances in computational ethology have allowed the quantification of behaviour in unprecedented detail. Tracking animals in social groups, however, remains challenging as most existing methods can either capture pose or robustly retain individual identity over time but not both. 2. To capture finely resolved behaviours while maintaining individual identity, we built NAPS (NAPS is ArUco Plus SLEAP), a hybrid tracking framework that combines state-of-the-art, deep learning-based methods for pose estimation (SLEAP) with unique markers for identity persistence (ArUco). We show that this framework allows the exploration of the social dynamics of the common eastern bumblebee (
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