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I wanted to train the model myself to get similar performance to your pre-trained model.
But the problem was that training accuracy was always 0 and threshold was 0.99.
So I used Insightface(arcface_torch) code to train the model myself.
However, despite using a larger dataset(ms1mv3), the performance was worse than your model.
I tried to change Insightface model like your model, but the performance was still worse than your model.(e.g. image channel(3->1), resnet18 model structure, batchsize)
I tested lfw dataset and my own dataset(Asian).
I think the cause of the difference in performance is the learning rate and training epoch.
In Insightface, training epoch is 25 and only 3 decay_epoch.
Can you explain how did you train your model in detail?
or what do you think that the reason about can't catch up your model performance?
Thank you for reading.
The text was updated successfully, but these errors were encountered:
Hello~ I'm a beginner in face recognition.
I wanted to train the model myself to get similar performance to your pre-trained model.
But the problem was that training accuracy was always 0 and threshold was 0.99.
So I used Insightface(arcface_torch) code to train the model myself.
However, despite using a larger dataset(ms1mv3), the performance was worse than your model.
I tried to change Insightface model like your model, but the performance was still worse than your model.(e.g. image channel(3->1), resnet18 model structure, batchsize)
I tested lfw dataset and my own dataset(Asian).
I think the cause of the difference in performance is the learning rate and training epoch.
In Insightface, training epoch is 25 and only 3 decay_epoch.
Can you explain how did you train your model in detail?
or what do you think that the reason about can't catch up your model performance?
Thank you for reading.
The text was updated successfully, but these errors were encountered: