Deep Fisher networks for large-scale image classification
As massively parallel computations have become broadly available with modern GPUs, deep architectures trained on very large datasets have risen in popularity. Discriminatively trained convolutional neural networks, in particular, were recently shown to yield state-of-the-art performance in challengi...
Κύριοι συγγραφείς: | Simonyan, K, Vedaldi, A, Zisserman, A |
---|---|
Μορφή: | Conference item |
Έκδοση: |
Association for Computing Machinery
2013
|
Παρόμοια τεκμήρια
Παρόμοια τεκμήρια
-
Deep inside convolutional networks: visualising image classification models and saliency maps
ανά: Simonyan, K, κ.ά.
Έκδοση: (2014) -
Very deep convolutional networks for large-scale image recognition
ανά: Simonyan, K, κ.ά.
Έκδοση: (2015) -
Fisher vector faces in the wild
ανά: Simonyan, K, κ.ά.
Έκδοση: (2013) -
Return of the devil in the details: delving deep into convolutional nets
ανά: Chatfield, K, κ.ά.
Έκδοση: (2014) -
Return of the devil in the details: delving deep into convolutional nets
ανά: Chatfield, K, κ.ά.
Έκδοση: (2014)