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Unsupervised learning reveals interpretable latent representations for translucency perception
Humans constantly assess the appearance of materials to plan actions, such as stepping on icy roads without slipping. Visual inference of materials is important but challenging because a given material can appear dramatically different in various scenes. This problem especially stands out for transl...
| Autores principales: | , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Public Library of Science
2023
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9942964/ https://www.ncbi.nlm.nih.gov/pubmed/36753520 http://dx.doi.org/10.1371/journal.pcbi.1010878 |