siamese-triplet

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hello, after we train the siamese and triplet network embeddings, how should we use it to classify?

Dashi-1997

Hi, I am currently working on my master's thesis and plan to use this code as part of my project, is there a way to obtain permission for this? I...

DavideBernardi

Faster triplet selector

2

Hi, it is possible to make the triplet selector run much faster both in cpu and cuda. It run 5x faster in my setup. It consists of just converting some...

Lucashsmello

sousoufa

In your case, 2-dimensional embeddings are learned and visualized. If >=3 dimensional embeddings were learned and then dimension-reduced to 2D using UMAP or t-SNE like algorithms, will the visualization look...

saurabh-kataria

Some additions needed

3

I was wondering if we could add adaptive thresholds and Quadruplet Networks that excel on these task for better results. Would be more than happy to open pull requests for...

vishalgolcha

Hi there i'm using this repo (awesome job by the way) to pre-train a model following the online triplet approach Since i want to obtain embeddings of 512 dimensions instead...

cri5Castro

Twitter Issue: "triplet loss is flawed"

2

https://twitter.com/alfcnz/status/1133372277876068352 Unfortunately that triplet loss is flawed. The most offending negative sample has zero gradient. That power of 2 should be a power of ½.I feel bad so many people...

nbstrong

Testset in TripletMNIST and SiameseMNIST are not fixed

1

Great work! Thanks for sharing such elegant codes. I have a small question, in TripletMNIST(Dataset) class. your annotation about testsets is "Test: Creates fixed triplets for testing" However, in the...

luuyin

Hi, I noticed in the triplet selection process, the distance matrix is calculated, which is square L2 norm between embedding vectors. Based on the distance matrix, the triplets are selected...

ukunliu