all AI news
A Deep Learning Method for Classification of Biophilic Artworks
March 11, 2024, 4:45 a.m. | Purna Kar, Jordan J. Bird, Yangang Xing, Alexander Sumich, Andrew Knight, Ahmad Lotfi, Benedict Carpenter van Barthold
cs.CV updates on arXiv.org arxiv.org
Abstract: Biophilia is an innate love for living things and nature itself that has been associated with a positive impact on mental health and well-being. This study explores the application of deep learning methods for the classification of Biophilic artwork, in order to learn and explain the different Biophilic characteristics present in a visual representation of a painting. Using the concept of Biophilia that postulates the deep connection of human beings with nature, we use an …
abstract application artwork artworks arxiv classification cs.cv deep learning health impact learn love mental health nature positive study type
More from arxiv.org / cs.CV updates on arXiv.org
Jobs in AI, ML, Big Data
Data Architect
@ University of Texas at Austin | Austin, TX
Data ETL Engineer
@ University of Texas at Austin | Austin, TX
Lead GNSS Data Scientist
@ Lurra Systems | Melbourne
Senior Machine Learning Engineer (MLOps)
@ Promaton | Remote, Europe
Principal Machine Learning Engineer (AI, NLP, LLM, Generative AI)
@ Palo Alto Networks | Santa Clara, CA, United States
Consultant Senior Data Engineer F/H
@ Devoteam | Nantes, France