Journal article
Visualizing deep convolutional neural networks using natural pre-images
- Abstract:
-
Image representations, from SIFT and bag of visual words to convolutional neural networks (CNNs) are a crucial component of almost all computer vision systems. However, our understanding of them remains limited. In this paper we study several landmark representations, both shallow and deep, by a number of complementary visualization techniques. These visualizations are based on the concept of “natural pre-image”, namely a natural-looking image whose representation has some notable property. W...
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- Publication status:
- Published
- Peer review status:
- Peer reviewed
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Authors
Funding
European Research Council
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Bibliographic Details
- Publisher:
- Springer Verlag Publisher's website
- Journal:
- International Journal of Computer Vision Journal website
- Volume:
- 120
- Issue:
- 3
- Pages:
- 233-255
- Publication date:
- 2016-05-18
- Acceptance date:
- 2016-04-15
- DOI:
- EISSN:
-
1573-1405
- ISSN:
-
0920-5691
Item Description
- Keywords:
- Pubs id:
-
pubs:624524
- UUID:
-
uuid:23d4558c-45b6-4c30-9b6a-288a7fef3ab9
- Local pid:
- pubs:624524
- Source identifiers:
-
624524
- Deposit date:
- 2016-05-27
Terms of use
- Copyright holder:
- Springer Science+Business Media
- Copyright date:
- 2016
- Notes:
-
© Springer Science+Business Media New York 2016.
This is the accepted manuscript version of the article. The final version is available online from Springer at: [10.1007/s11263-016-0911-8]
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