Cargando…
Diversity priors for learning early visual features
This paper investigates how utilizing diversity priors can discover early visual features that resemble their biological counterparts. The study is mainly motivated by the sparsity and selectivity of activations of visual neurons in area V1. Most previous work on computational modeling emphasizes se...
Autores principales: | Xiong, Hanchen, Rodríguez-Sánchez, Antonio J., Szedmak, Sandor, Piater, Justus |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Frontiers Media S.A.
2015
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4532921/ https://www.ncbi.nlm.nih.gov/pubmed/26321941 http://dx.doi.org/10.3389/fncom.2015.00104 |
Ejemplares similares
-
Evaluating the progress of deep learning for visual relational concepts
por: Stabinger, Sebastian, et al.
Publicado: (2021) -
Learning Semantics of Gestural Instructions for Human-Robot Collaboration
por: Shukla, Dadhichi, et al.
Publicado: (2018) -
Neurons in the thalamic reticular nucleus are selective for diverse and complex visual features
por: Vaingankar, Vishal, et al.
Publicado: (2012) -
Strain design optimization using reinforcement learning
por: Sabzevari, Maryam, et al.
Publicado: (2022) -
Early Visual Saliency Based on Isolated Optimal Features
por: Castellotti, Serena, et al.
Publicado: (2021)