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Thanks for your great work.
In paper, you said that MEC equals to merging simsiam and BT.
But in the git code, it used momentum encoder, much more similar to merging BYOL and BT.
Do I get it …
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First of all, thanks for providing this pytorch implementation.
If we look into the augmentations for each of the models (SimSiam, BYOL, etc), it seems that it is using the ImageNet dataset's mean …
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I kowe the encoder which is adapted to the target image domain can generates feature representations in a domain-specific view and the frozen encoder can provide the view from pre-train image domain. …
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Hello, I want to know where the feature transformation method is located in the code. Second, I want to know how to add this to simsiam
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I run in eval_linear.py have a error. how to slove the error?
- [Traceback (most recent call last):
File "eval_linear.py", line 392, in
main()
File "eval_linear.py", line 97, in main…
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https://github.com/PatrickHua/SimSiam/blob/fca181ed52274088fb39b92f3a9a57f97858e5d3/models/byol.py#L84
I am trying to apply different contrastive learning algorithms to some other fields. I found y…
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Hello,
I was using your implementation of SimSiam for contrastive learning. I noticed that the model that you have created has a few problems:
1. The "stop_gradient" part of the network is absent…
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firstly,it is a great job to do ddp(distributed_data_paralel) train on huge dataset(other code is on cifar10), i could get the result you published.
however ,when i train the simsiam on other dataset…
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Hello, Have you ever try to transfer the simsiam model to object detection task. I have trained a 200-epoch model on ImageNet through simsiam(following the optimal config in paper), Then I take it as…
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model =simsiam
target_layers = [model?]??
这个位置应该是model.什么呢