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Hi,
Thanks for the wonderful work.Can you provide us the PyTorch code for top-K consensus and attention weight pooling consensus? because only average and identity consensus is available in the given PyTorch code but the paper reported that top-k pooling gives high accuracy and then attention weighting also gives good accuracy.
Can you please share the code for both the consensus in PyTorch so that we can try validating the result?
The text was updated successfully, but these errors were encountered:
Hi,
Thanks for the wonderful work.Can you provide us the PyTorch code for top-K consensus and attention weight pooling consensus? because only average and identity consensus is available in the given PyTorch code but the paper reported that top-k pooling gives high accuracy and then attention weighting also gives good accuracy.
Can you please share the code for both the consensus in PyTorch so that we can try validating the result?
The text was updated successfully, but these errors were encountered: