Implicitly using Human Skeleton in Self-supervised Learning: Influence on Spatio-temporal Puzzle Solving and on Video Action Recognition

Mathieu Riand; Mathieu Riand; Laurent Dollé; Patrick Le Callet

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Paper

Implicitly using Human Skeleton in Self-supervised Learning: Influence on Spatio-temporal Puzzle Solving and on Video Action Recognition

Topics: Deep Learning; Image and Video Processing; Robot Vision; Scene Analysis and Understanding

In Proceedings of the 2nd International Conference on Robotics, Computer Vision and Intelligent Systems ROBOVIS - Volume 1, 128-135, 2021

Authors: Mathieu Riand ^{1

;

2} ; Laurent Dollé ¹ and Patrick Le Callet ²

Affiliations: ¹ CEA Tech Pays de la Loire, 44340 Bouguenais, France ; ² Equipe Image Perception et Interaction, Laboratoire des Sciences du Numérique de Nantes, Nantes University, 44322 Nantes, France

Keyword(s): Self-supervised Learning, Siamese Network, Skeleton Keypoints, Action Recognition, Few-shot Learning.

Abstract: In this paper we studied the influence of adding skeleton data on top of human actions videos when performing self-supervised learning and action recognition. We show that adding this information without additional constraints actually hurts the accuracy of the network; we argue that the added skeleton is not considered by the network and seen as a noise masking part of the natural image. We bring first results on puzzle solving and video action recognition to support this hypothesis.

CC BY-NC-ND 4.0

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Paper citation in several formats:

Riand, M.; Dollé, L. and Le Callet, P. (2021). Implicitly using Human Skeleton in Self-supervised Learning: Influence on Spatio-temporal Puzzle Solving and on Video Action Recognition. In Proceedings of the 2nd International Conference on Robotics, Computer Vision and Intelligent Systems - ROBOVIS; ISBN 978-989-758-537-1, SciTePress, pages 128-135. DOI: 10.5220/0010689500003061

@conference{robovis21,
author={Mathieu Riand. and Laurent Dollé. and Patrick {Le Callet}.},
title={Implicitly using Human Skeleton in Self-supervised Learning: Influence on Spatio-temporal Puzzle Solving and on Video Action Recognition},
booktitle={Proceedings of the 2nd International Conference on Robotics, Computer Vision and Intelligent Systems - ROBOVIS},
year={2021},
pages={128-135},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0010689500003061},
isbn={978-989-758-537-1},
}

TY - CONF

JO - Proceedings of the 2nd International Conference on Robotics, Computer Vision and Intelligent Systems - ROBOVIS
TI - Implicitly using Human Skeleton in Self-supervised Learning: Influence on Spatio-temporal Puzzle Solving and on Video Action Recognition
SN - 978-989-758-537-1
AU - Riand, M.
AU - Dollé, L.
AU - Le Callet, P.
PY - 2021
SP - 128
EP - 135
DO - 10.5220/0010689500003061
PB - SciTePress