Self-Supervised Learning
SimSiam simplifies Self Supervised Learning by eliminating the need for negative samples and momentum encoders Using a dual branch Siamese network and a stop gradient mechanism it prevents representation collapse
Supervised Learning has been dominant for years but its reliance on labeled data a costly and time consuming resource creates challenges especially in areas like medical imaging On the other
