Work

Convolutional Nets and Watershed Cuts for Real-Time Semantic Labeling of RGBD Videos

Year: 2014

Type: article

Abstract: HAL is a multi-disciplinary open access archive for the deposit and dissemination of sci-entific research documents, whether they are pub-lished or not. The documents may come from teaching and research institutions in France or abroad, or from public or private research centers. L’archive ouverte pluridisciplinaire HAL, est destinée au dépôt et a ̀ la diffusion de documents scientifiques de niveau recherche, publiés ou non, émanant des établissements d’enseignement et de recherche français ou étrangers, des laboratoires publics ou privés.

Authors: Camille Couprie, Laurent Najman, Yann Lecun, Camille Couprie, Convolutional Nets, Universite ́ Paris-est

Institutions: IFP Énergies nouvelles, Twitter (United States), Laboratoire d'Informatique Gaspard-Monge, Université Paris-Est Marne-la-Vallée, Courant Institute of Mathematical Sciences, Meta (United States)

Language: English

Topic: Advanced Neural Network Applications

Subfield: Computer Vision and Pattern Recognition

Field: Computer Science

Domain: Physical Sciences

Open Access status: green

OpenAlex ID: W126953435

FWCI: 3.594

Cites: 46

Cited by: 30

Related to: 10