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Can you leave an example of how to do finetuning with triplet loss?
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Why (Triplet loss + Arcface) is inferior than (Triplet loss + Softmax), I have tried many parameters, but the retrieval performance is not well. Triplet loss + Softmax is always better.
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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…
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Hi there!
Thank you for the awesome library!
I'm currently working on training a model using the CARS196 dataset with the following parameters:
```python
distance = distances.CosineSimilarit…
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Hi,
I am going to fine-tune the 'cross-encoder/ms-marco-MiniLM-L-4-v2' for the re-ranking of top documents in my retrieval schema. I have followed the instructions for the example in https://github.…
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I have 2 changes in original code, first change network from "resnet" to "osnet" (osnet_x1_0). second change loss function from "softmax" to "triplet". and I get this error. can anyone help me?
@Kaiy…
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Hi, I just begin to use MatConvNet. I would like to use Triplet loss in my model. But it still hasn't been included in the MatConvNet. Could you please give me some advises about how to design a Tripl…
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Just a query, have you tried triplet loss or lossless triplet loss as I think that would produce better embeddings as we are providing fewer examples and the clusters formed will be visually better.
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My understanding of the current classifier and task with 60X res data can be found here: https://docs.google.com/document/d/1j3UePmDJL_1V_9j7v3I4nLgAgKuFXXuqmlW8ZFOyTk0/edit?usp=sharing.
Given this…