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...
Hlavní autoři: | Simonyan, K, Vedaldi, A, Zisserman, A |
---|---|
Médium: | Conference item |
Vydáno: |
Association for Computing Machinery
2013
|
Podobné jednotky
-
Deep inside convolutional networks: visualising image classification models and saliency maps
Autor: Simonyan, K, a další
Vydáno: (2014) -
Very deep convolutional networks for large-scale image recognition
Autor: Simonyan, K, a další
Vydáno: (2015) -
Fisher vector faces in the wild
Autor: Simonyan, K, a další
Vydáno: (2013) -
Return of the devil in the details: delving deep into convolutional nets
Autor: Chatfield, K, a další
Vydáno: (2014) -
Return of the devil in the details: delving deep into convolutional nets
Autor: Chatfield, K, a další
Vydáno: (2014)