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Hi, thanks for your interest! As mentioned in README.md, we used the exact voting scripts provided in RSCNN. Simply update the scripts with our dataloader/model and you are good to go:) Since the voting process is highly sensitive to randomness, same to RSCNN, we repeated the voting 300 times, and reported the best score.
Hello, i'm interested in your paper, curvenet.
Where can I access to the voting strategy that you used in your M40 experiments?
Thank you.
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