Zobrazeno 1 - 10
of 4 321
pro vyhledávání: '"Martin, Pierre"'
Publikováno v:
Diplomatie, 2019 Mar 01(97), 97-97.
Externí odkaz:
https://www.jstor.org/stable/26983347
Autor:
Martin, Pierre-Etienne
This paper presents a bonobo detection and classification pipeline built from the commonly used machine learning methods. Such application is motivated by the need to test bonobos in their enclosure using touch screen devices without human assistance
Externí odkaz:
http://arxiv.org/abs/2309.03671
Autor:
Hubscher, Ronald
Publikováno v:
Le Mouvement social, 2004 Jan 01(206), 142-146.
Externí odkaz:
https://www.jstor.org/stable/3780091
As participants of the MediaEval 2022 Sport Task, we propose a two-stream network approach for the classification and detection of table tennis strokes. Each stream is a succession of 3D Convolutional Neural Network (CNN) blocks using attention mecha
Externí odkaz:
http://arxiv.org/abs/2302.02755
Autor:
Martin, Pierre-Etienne
This paper presents the baseline method proposed for the Sports Video task part of the MediaEval 2022 benchmark. This task proposes two subtasks: stroke classification from trimmed videos, and stroke detection from untrimmed videos. This baseline add
Externí odkaz:
http://arxiv.org/abs/2302.02752
Publikováno v:
Rivista di storia della Chiesa in Italia, 2016 Jan 01. 70(1), 220-224.
Externí odkaz:
https://www.jstor.org/stable/44807486