What is the main difference between Supervised Learning and Contrastive Learning in Convolutional Neural Networks? Answer choices Select only one option Supervised Learning maximizes the similarity between positive pairs, while Contrastive Learning maximizes the dissimilarity between positive and negative pairs Supervised Learning requires labeled data, while Contrastive Learning does not Supervised Learning only works with fully connected layers, while Contrastive Learning works with Convolutional Layers Supervised Learning requires a larger number of training samples than Contrastive Learning