Generating class saliency maps using deep ConvNets
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Generating class saliency maps using deep ConvNets
$begingroup$
I'm trying to generate some image-specific class saliency maps using a trained convolutional neural network as described in this paper. Basically it computes the derivative of the input image with respect to the output class score, then those gradients can be served as a saliency map.
The authors in this paper use softmax as output layer so each class corresponds to a single neuron in the output layer. However my model is used to do binary classification and my output layer is a single neuron followed by a sigmoid unit, does it make sense that I use this method to get the saliency maps for both classes? If so, should I just use back-propagation to calculate the derivative of the input image with respect to the output score for both 0 and 1 classes?
Thanks!
deep-learning
asked 3 mins ago
DerickShiDerickShi
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DerickShi is a new contributor to this site. Take care in asking for clarification, commenting, and answering.
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add a comment |
$begingroup$
I'm trying to generate some image-specific class saliency maps using a trained convolutional neural network as described in this paper. Basically it computes the derivative of the input image with respect to the output class score, then those gradients can be served as a saliency map.
The authors in this paper use softmax as output layer so each class corresponds to a single neuron in the output layer. However my model is used to do binary classification and my output layer is a single neuron followed by a sigmoid unit, does it make sense that I use this method to get the saliency maps for both classes? If so, should I just use back-propagation to calculate the derivative of the input image with respect to the output score for both 0 and 1 classes?
Thanks!
deep-learning
asked 3 mins ago
DerickShiDerickShi
11
New contributor
DerickShi is a new contributor to this site. Take care in asking for clarification, commenting, and answering.
Check out our Code of Conduct.
$endgroup$
add a comment |
$begingroup$
I'm trying to generate some image-specific class saliency maps using a trained convolutional neural network as described in this paper. Basically it computes the derivative of the input image with respect to the output class score, then those gradients can be served as a saliency map.
The authors in this paper use softmax as output layer so each class corresponds to a single neuron in the output layer. However my model is used to do binary classification and my output layer is a single neuron followed by a sigmoid unit, does it make sense that I use this method to get the saliency maps for both classes? If so, should I just use back-propagation to calculate the derivative of the input image with respect to the output score for both 0 and 1 classes?
Thanks!
deep-learning
asked 3 mins ago
DerickShiDerickShi
11
New contributor
DerickShi is a new contributor to this site. Take care in asking for clarification, commenting, and answering.
Check out our Code of Conduct.
$endgroup$
I'm trying to generate some image-specific class saliency maps using a trained convolutional neural network as described in this paper. Basically it computes the derivative of the input image with respect to the output class score, then those gradients can be served as a saliency map.
The authors in this paper use softmax as output layer so each class corresponds to a single neuron in the output layer. However my model is used to do binary classification and my output layer is a single neuron followed by a sigmoid unit, does it make sense that I use this method to get the saliency maps for both classes? If so, should I just use back-propagation to calculate the derivative of the input image with respect to the output score for both 0 and 1 classes?
Thanks!
deep-learning
deep-learning
asked 3 mins ago
DerickShiDerickShi
11
New contributor
DerickShi is a new contributor to this site. Take care in asking for clarification, commenting, and answering.
Check out our Code of Conduct.
asked 3 mins ago
DerickShiDerickShi
11
New contributor
DerickShi is a new contributor to this site. Take care in asking for clarification, commenting, and answering.
Check out our Code of Conduct.
asked 3 mins ago
DerickShiDerickShi
11
New contributor
DerickShi is a new contributor to this site. Take care in asking for clarification, commenting, and answering.
Check out our Code of Conduct.
asked 3 mins ago
DerickShiDerickShi
11
asked 3 mins ago
DerickShiDerickShi
11
11
New contributor
DerickShi is a new contributor to this site. Take care in asking for clarification, commenting, and answering.
Check out our Code of Conduct.
New contributor
DerickShi is a new contributor to this site. Take care in asking for clarification, commenting, and answering.
Check out our Code of Conduct.
DerickShi is a new contributor to this site. Take care in asking for clarification, commenting, and answering.
Check out our Code of Conduct.
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