3 votes

How to combine different models in Keras?

You can get the output of your models with model.output or get_layer and combine them with ...
Chopin's user avatar
  • 352
2 votes

Difference between Siamese Network and Prototypical Networks for One Shot Learning

For unseen classes at inference time, one-shot learning is quite similar when using Siamese networks and prototypical networks. Both approaches involve using your trained network to generate an ...
bsauce's user avatar
  • 121
2 votes
Accepted

Siamese model accuracy stuck at 0.5

Turns out the problem was hidden in the loss function. I decided to change it from Contrasive Loss to Categorical Crossentropy just for fun, and with some kind of "magic" it worked. from: <...
Alex Aramyan's user avatar
1 vote

How gradients are flown back to Network in siamese architecture? How weights of all CNN models are same even when using different models

You do three forward passes for the three inputs and calculate one loss. So some modules (maybe all) are used three times. As the gradients depend on the inputs, three gradients get calculated and ...
Knipser's user avatar
  • 111
1 vote

How gradients are flown back to Network in siamese architecture? How weights of all CNN models are same even when using different models

You only create ONE model for a siamese network that you pass your inputs to. (You have created three models in the example) So in your triplet case you would pass the three inputs seperatly to the ...
Isbister's user avatar
  • 183
1 vote

Sneakers representation learning

Best is to start from pre-trained encoding. Please check TFHub (https://tfhub.dev/google/collections/image/1). I have worked myself with encoding of shoes for a sport fashion companies. Remember that ...
Benoit Descamps's user avatar
1 vote

Why does Siamese neural networks use tied weights and how do they work?

You could have a single network, feed both inputs separately, compute the distance/loss, then perform backpropagation. Or (as in the cited paper) you could initialize a network, and then create a ...
JoeB152's user avatar
  • 36
1 vote

Siamese Network in Keras

From Official Keras examples: Image similarity estimation using a Siamese Network with a triplet loss Training a Siamese Network to compare the similarity of images using a triplet loss function. A ...
Pluviophile's user avatar
  • 3,848
1 vote

Siamese Network in Keras

Thats perfect I am searching implementation too, and I found these resources. Here pyimagesearch website https://www.pyimagesearch.com/2020/11/23/building-image-pairs-for-siamese-networks-with-python/ ...
Mert Bozkir's user avatar
1 vote
Accepted

Training a Siamese Neural Network for object similarity assessment

without going into architecture that looks reasonable but always can be updated: Weights are dominantly updated for the negative pairs. why? In the train set where you have (approx) 10 000 times more ...
Noah Weber's user avatar
  • 5,669

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