Open gandad opened 4 years ago
X=shuffled_X1beta+shuffled_X2(1-beta)
Yes, such implementation seems to be more popular than that of this repo.
Another question, how about creating as many sample as we can, using different beta?
Beta? Beta here means beta distribution, and real mixing coefficients are all different as you want, while they are drawn from the same beta distribution.
Hello yu4u, It seems that the mixup strategy decreases the trainning smaple number by 50%. Have you tested the result of keeping the sample number? e.g., for each min-batch,we create a new min-batch using the following fumula: X=shuffled_X1beta+shuffled_X2(1-beta)
Another question, how about creating as many sample as we can, using different beta?