Cargando…
The contribution of object identity and configuration to scene representation in convolutional neural networks
Scene perception involves extracting the identities of the objects comprising a scene in conjunction with their configuration (the spatial layout of the objects in the scene). How object identity and configuration information is weighted during scene processing and how this weighting evolves over th...
Autores principales: | Tang, Kevin, Chin, Matthew, Chun, Marvin, Xu, Yaoda |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Public Library of Science
2022
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9239439/ https://www.ncbi.nlm.nih.gov/pubmed/35763531 http://dx.doi.org/10.1371/journal.pone.0270667 |
Ejemplares similares
-
Representing Multiple Visual Objects in the Human Brain and Convolutional Neural Networks
por: Mocz, Viola, et al.
Publicado: (2023) -
Multiple visual objects are represented differently in the human brain and convolutional neural networks
por: Mocz, Viola, et al.
Publicado: (2023) -
Limits to visual representational correspondence between convolutional neural networks and the human brain
por: Xu, Yaoda, et al.
Publicado: (2021) -
Joint representation of color and form in convolutional neural networks: A stimulus-rich network perspective
por: Taylor, JohnMark, et al.
Publicado: (2021) -
Publisher Correction: Limits to visual representational correspondence between convolutional neural networks and the human brain
por: Xu, Yaoda, et al.
Publicado: (2021)