Comparative Evaluation of Self-Supervised Visual Learning Methods in the Low-Data Regime

This work conducts a thorough comparative evaluation of self-supervised visual learning methods in the low-data regime, identifying what is learnt via low-data SSL pretraining and how different SSL categories behave in such training scenarios.