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SIPEC: the deep-learning Swiss knife for behavioral data analysis

Date

Date

Date
2020
Working Paper

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Marks, M., Qiuhan, J., Sturman, O., von Ziegler, L., Kollmorgen, S., von der Behrens, W., Mante, V., Bohacek, J., & Yanik, M. F. (2020). SIPEC: the deep-learning Swiss knife for behavioral data analysis (No. 355115; BioRxiv). https://doi.org/10.1101/2020.10.26.355115

Abstract

Abstract

Abstract

Analysing the behavior of individuals or groups of animals in complex environments is an important, yet difficult computer vision task. Here we present a novel deep learning architecture for classifying animal behavior and demonstrate how this end-to-end approach can significantly outperform pose estimation-based approaches, whilst requiring no intervention after minimal training. Our behavioral classifier is embedded in a first-of-its-kind pipeline (SIPEC) which performs segmentation, identification, pose-estimation and classificatio

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Creators (Authors)

  • Marks, Markus
  • Qiuhan, Jin
  • Sturman, Oliver
  • von Ziegler, Lukas
  • Kollmorgen, Sepp
  • von der Behrens, Wolfger
  • Mante, Valerio
  • Bohacek, Johannes
  • Yanik, Mehmet Fatih

Series Name

Series Name

Series Name
bioRxiv

Institution

Institution

Institution

Item Type

Item Type

Item Type
Working Paper

Dewey Decimal Classifikation

Dewey Decimal Classifikation

Dewey Decimal Classifikation

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Language

Language
English

Publication date

Publication date

Publication date
2020

Date available

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Date available
2021-02-16

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ISSN or e-ISSN

ISSN or e-ISSN
2164-7844

OA Status

OA Status

OA Status
Green

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5 since deposited on 2021-02-16
1last week
Acq. date: 2025-11-13

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1 since deposited on 2021-02-16
Acq. date: 2025-11-13

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Citation copied

Marks, M., Qiuhan, J., Sturman, O., von Ziegler, L., Kollmorgen, S., von der Behrens, W., Mante, V., Bohacek, J., & Yanik, M. F. (2020). SIPEC: the deep-learning Swiss knife for behavioral data analysis (No. 355115; BioRxiv). https://doi.org/10.1101/2020.10.26.355115

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