Top-Down Neural Attention by Excitation Backprop
Author:
Funder
National Science Foundation
Publisher
Springer Science and Business Media LLC
Subject
Artificial Intelligence,Computer Vision and Pattern Recognition,Software
Link
http://link.springer.com/article/10.1007/s11263-017-1059-x/fulltext.html
Reference51 articles.
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3. Bach, S., Binder, A., Montavon, G., Klauschen, F., Müller, K.-R., & Samek, W. (2015). On pixel-wise explanations for non-linear classifier decisions by layer-wise relevance propagation. PloS ONE, 10(7), e0130140.
4. Baluch, F., & Itti, L. (2011). Mechanisms of top-down attention. Trends in Neurosciences, 34(4), 210–224.
5. Bazzani, L., Bergamo, A., Anguelov, D. & Torresani, L. (2016). Self-taught object localization with deep networks. In 2016 IEEE winter conference on applications of computer vision (WACV) (pp. 1–9). IEEE.
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