Unsupervised foveal vision neural architecture with top-down attention

Author:

Burt Ryan,Thigpen Nina N.,Keil Andreas,Principe Jose C.ORCID

Funder

Defense Advanced Research Projects Agency

Publisher

Elsevier BV

Subject

Artificial Intelligence,Cognitive Neuroscience

Reference87 articles.

1. Frequency-tuned salient region detection;Achanta,2009

2. A multi-resolution saliency framework to drive foveation;Advani,2013

3. Agrawal, P., Carreira, J., & Malik, J. (2015). Learning to see by moving. In Proceedings of the IEEE International conference on computer vision (pp. 37–45).

4. Bottom-up and top-down attention for image captioning and visual question answering;Anderson,2018

5. Bazzani, L., Freitas, N., & Ting, J. (2011). Learning attentional mechanisms for simultaneous object tracking and recognition with deep networks. In International Conference on machine learning.

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