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The Costs and Benefits of Goal-Directed Attention in Deep Convolutional Neural Networks

People deploy top-down, goal-directed attention to accomplish tasks, such as finding lost keys. By tuning the visual system to relevant information sources, object recognition can become more efficient (a benefit) and more biased toward the target (a potential cost). Motivated by selective attention...

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Detalles Bibliográficos
Autores principales: Luo, Xiaoliang, Roads, Brett D., Love, Bradley C.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer International Publishing 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8550459/
https://www.ncbi.nlm.nih.gov/pubmed/34723095
http://dx.doi.org/10.1007/s42113-021-00098-y

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