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Literature DB >> 35414127

Tracking together: estimating social poses.

Sena Agezo¹, Gordon J Berman².

Abstract

Entities: Chemical

Mesh：
Social Behavior

Year: 2022 PMID： 35414127 DOI： 10.1038/s41592-022-01452-z

Source DB: PubMed Journal: Nat Methods ISSN： 1548-7091 Impact factor: 28.547

Keyword Cloud
References

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8 in total

1. idtracker.ai: tracking all individuals in small or large collectives of unmarked animals.

Authors: Francisco Romero-Ferrero; Mattia G Bergomi; Robert C Hinz; Francisco J H Heras; Gonzalo G de Polavieja
Journal: Nat Methods Date: 2019-01-14 Impact factor: 28.547

2. DeepLabCut: markerless pose estimation of user-defined body parts with deep learning.

Authors: Alexander Mathis; Pranav Mamidanna; Kevin M Cury; Taiga Abe; Venkatesh N Murthy; Mackenzie Weygandt Mathis; Matthias Bethge
Journal: Nat Neurosci Date: 2018-08-20 Impact factor: 24.884

3. idTracker: tracking individuals in a group by automatic identification of unmarked animals.

Authors: Alfonso Pérez-Escudero; Julián Vicente-Page; Robert C Hinz; Sara Arganda; Gonzalo G de Polavieja
Journal: Nat Methods Date: 2014-06-01 Impact factor: 28.547

4. Fast animal pose estimation using deep neural networks.

Authors: Talmo D Pereira; Diego E Aldarondo; Lindsay Willmore; Mikhail Kislin; Samuel S-H Wang; Mala Murthy; Joshua W Shaevitz
Journal: Nat Methods Date: 2018-12-20 Impact factor: 28.547

5. Geometric deep learning enables 3D kinematic profiling across species and environments.

Authors: Timothy W Dunn; Jesse D Marshall; Kyle S Severson; Diego E Aldarondo; David G C Hildebrand; Selmaan N Chettih; William L Wang; Amanda J Gellis; David E Carlson; Dmitriy Aronov; Winrich A Freiwald; Fan Wang; Bence P Ölveczky
Journal: Nat Methods Date: 2021-04-19 Impact factor: 28.547

Tracking together: estimating social poses.

1. idtracker.ai: tracking all individuals in small or large collectives of unmarked animals.

2. DeepLabCut: markerless pose estimation of user-defined body parts with deep learning.

3. idTracker: tracking individuals in a group by automatic identification of unmarked animals.

4. Fast animal pose estimation using deep neural networks.

5. Geometric deep learning enables 3D kinematic profiling across species and environments.

6. DeepPoseKit, a software toolkit for fast and robust animal pose estimation using deep learning.

7. High-throughput ethomics in large groups of Drosophila.

8. DeepFly3D, a deep learning-based approach for 3D limb and appendage tracking in tethered, adult Drosophila.