Work

Improve Pose Estimation Model Performance with Unlabeled Data

Year: 2023

Type: conference-paper

Source: Congress in Computer Science, Computer Engineering, and Applied Computing (CSCE)

DOI: 10.1109/csce60160.2023.00221

Authors: Adel Taleb, Samuel Diop, Philippe Rambaud, Awa Bakayoko, Audrey Benezit, Raphael Fauches, François Jouen, Jean Bergounioux

Institutions: École Pratique des Hautes Études, Université Paris Sciences et Lettres, Laboratoire Cognitions Humaine et Artificielle, Capgemini (France), Université Paris 8, Université Paris-Saclay, Laboratoire Interdisciplinaire des Sciences du Numérique, Assistance Publique – Hôpitaux de Paris, Hôpital Raymond-Poincaré, Université de Versailles Saint-Quentin-en-Yvelines

Language: English

Topic: Human Pose and Action Recognition

Subfield: Computer Vision and Pattern Recognition

Field: Computer Science

Domain: Physical Sciences

SDG: Good health and well-being

Open Access status: closed

OpenAlex ID: W4394598012

FWCI: 0.264

Cites: 30

Cited by: 3

Related to: 10