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Questions tagged [triplet-loss-function]

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9 votes
1 answer
7k views

What is the difference between the triplet loss and the contrastive loss?

What is the difference between the triplet loss and the contrastive loss? They look same to me. I don't understand the nuances between the two. I have the following queries: When to use what? What ...
Exploring's user avatar
  • 343
2 votes
2 answers
1k views

Why does triplet loss allow to learn a ranking whereas contrastive loss only allows to learn similarity?

I am looking at this lecture, which states (link to exact time): What the triplet loss allows us in contrast to the contrastive loss is that we can learn a ranking. So it's not only about similarity, ...
Gulzar's user avatar
  • 759
1 vote
2 answers
412 views

Triplet Loss- Three forward pass and one backward pass(Propagation)

I am trying to build a CNN model based on the concepts of Contrastive Learning. In specific based on Triplet loss. I have 5 different class labels and I create triplets such that in a triplet, two ...
Raj Rajeshwari Prasad's user avatar
0 votes
1 answer
166 views

Why is the time complexity of the Triplet Loss $O(N^3)$

The triplet loss function uses an anchor, positive, and negative examples. If $N$ are the number of examples in the training set with $C$ classes, then I think that the time complexity should be $O(...
wd violet's user avatar
  • 103
0 votes
1 answer
17 views

What architecture is used for deep quadruplet network for person re-identification

I am trying to implement the paper Beyond triplet loss: a deep quadruplet network for person re-identification. In the paper, they provide a figure (attached below) containing the network architecture,...
Varghese Kuruvilla's user avatar
0 votes
1 answer
197 views

Does this modified version of the triplet loss function introduced with SBERT that uses the cosine similarity make sense?

I am working on a modified version of the triplet loss function introduced with SBERT, where instead of the Euclidean distance we use the cosine similarity. The formula to minimize is ...
randomal's user avatar
  • 105
0 votes
0 answers
16 views

Sampling triplet sets in the field of few-shot learning

I have recently been exposed to the concept of K-way N-shot classification. As far as I realize few-shot learning involves meta training and meta testing sets for training and testing our model, ...
Miss M's user avatar
  • 1
-1 votes
1 answer
836 views

How to retrain a Facenet model with the triplet loss function?

I want to calculate the similarity or distance of two faces. I'm using Python. I have read and done what this tutorial says. However, the result is not good (the similarity of same faces and ...
behrad's user avatar
  • 99