-
hello,why the siamese loss is always zero during my training
S1=0.00
-
Traceback (most recent call last):
File "train.py", line 344, in
fit_one_epoch(model_train, model, loss, loss_history, optimizer, epoch, epoch_step, epoch_step_val, gen, gen_val, Epoch, Cuda,…
-
## 🚀 Feature
I would like to contribute to the pytorch (in python and c++) by adding the [ contrastive loss/siamese_margin_loss](http://yann.lecun.com/exdb/publis/pdf/hadsell-chopra-lecun-06.pdf) f…
-
-
Addition of New Contastive Loss function which is used as a primary metric to calculate loss in siamese networks. If it needs to be added, I would love to work on the PR.
Reference : http://yann.lecu…
-
The Goal of the project is to do Face recognition task using Siamese Neural Network that is trained over a triplet loss function , This is useful in situations where you have limited dataset for train…
-
I want to write a siamese network example , and it can run, but I don't know is it correct, can anyone help me to review it?
```
from __future__ import division, print_function, absolute_import
i…
-
---------------------------------------------------------------------------
AttributeError Traceback (most recent call last)
~/Kit/Classification/Siamese-Prostate-MRI-Simi…
-
The value of loss stays high from beginning to end within training time
I’m sorry to disturb you again. For academic study, I planned to recurrent your experiment result. Thus I written the network fi…
-
I don't think I completely understand this part of the code:
```
distance = Lambda(cosine_distance,
output_shape=cosine_distance_output_shape)([vector_left, vector_right])
…