Apple Study Reveals the Learned Visual Representation Similarities and Dissimilarities Between Self-Supervised and Supervised Methods
An Apple research team performs a comparative analysis on a contrastive self-supervised learning (SSL) algorithm (SimCLR) and a supervised learning (SL) approach for simple image data in a common architecture, shedding light on the similarities and dissimilarities in their learned visual representation patterns.
