lkqnaruto

Can Swin Transformer handle images with different size?

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I wonder whether Swin Transformer can directly take images with different size without any resizing preprocessing?

Question on crf layer, why loop through batch before crf layer?

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I checked out the code, where you said : ``` # 1- the CRF package assumes the mask tensor cannot have interleaved # zeros and ones. In other words, the...

For cases like O->I, should I manually set the corresponding entries in the transition probability matrix to zero?

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Hi Again, thank you for the amazing work! I wonder in NER task, for cases like O->I, Should I manually set the corresponding entries in the transition probability matrix to...

How should I modify the model(G and D) structure if my input are all one-hot encoded matrix(3-D tensor) which only contains either 0 or 1

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I'm working on something that need to convert each value in 2-D tensor to 3-D tensor where each value in the original 2-D tensor has been one-hot encoded. For example,...

Row index represents the current state, and column index represents the next state in the transition matrix of CRF?

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Hi I'm little bit confused about the index of CRF transition matrix. I wonder whether the row index represents the current state, and column index represents the next state in...

Hi I would like to enforce some constraint on CRF transition matrix, for example: O -> I, in practice, this should not happen. So I was trying to set its...

Is it possible to enforce constraint on transition matrix of CRF?

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Hi I wonder Is it possible to enforce constraint on transition matrix of CRF? For example, given BIO scheme, O -> I should not happen in practice, so is it...

How to choose reference data? Should test data and refernce data coming from the same group? like using control group to infer control group cell types, using disease group to infer disease group labels?

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Hi I'm working on cell type annotation. In my test data, I have one control group which contains 4 samples, one Vehicle treatment group which contains 8 samples, and one...

I wonder why batchnormalization after qkv transform? is it because of the covariate shift issue? https://github.com/csrhddlam/axial-deeplab/blob/79088edb4bdb8c94351d85f54272ec12b9e79c8b/lib/models/axialnet.py#L31-L34 How does `batchnorm2D` work for calculating the similarity score? It really confused me. Thanks

Hi Hannes, I wonder when you consider blind docking scenario, did you use the whole problem to build the graph or just a part of protein, like a neighborhood around...