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Hi Kevin,
I wonder if such an extended NT-Xent loss could be implemented?
The NT-Xent implemented in this package can return the pairwise loss when given a mini-batch and a label array. I wonder…
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Hello:
I'd like to add Circle Loss into the package and have completed the coding.
FYI, Here is the CVPR 2020 paper that introduces circle loss:
https://arxiv.org/abs/2002.10857
How can I add…
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Actually I am trying to predict the similarity between two images based on the predicted feature vector.
Was trying to change the final layer head with distance ie distance = Lambda(self.euclidean_di…
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Does this package support Xgboost?
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**System information**
- Have I written custom code (as opposed to using a stock example script provided in TensorFlow):
Yes
- OS Platform and Distribution (e.g., Linux Ubuntu 16.04):
Mac OS X 10.…
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I appreciate your quick response.
I successfully finished the training and got O1 score arount 66.0 for CUB dataset.
I think it makes sense for now.
I actually came up with some other curiosities…
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Hi,Thank you for your great work! What is the difference between the dense loss and the sparse loss?
I am looking forward to your reply.Thanks!
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I tried changing the loss function to contrastive loss. this is the contrastive loss code:
class ContrastiveLoss(torch.nn.Module):
"""
Contrastive loss function.
Based on: http://yann.…
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Like the following picture.The network seems to learn the structure well,but the distance is not learned well.The depth in the distance seems to be similar to that in the near place.What's the reason …
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Hi, it seems that you are using the dot product between vectors from two views as a proxy for unknown distribution denoted as pd in your paper [here](https://github.com/HobbitLong/CMC/blob/master/NCE/…