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cs.CV2024
Analysis of Spatial augmentation in Self-supervised models in the purview of training and test distributions
Abhishek Jha, Tinne Tuytelaars
In this paper, we present an empirical study of typical spatial augmentation techniques used in self-supervised representation learning methods (both contrastive and non-contrastiv…
cs.CV2024
The Common Stability Mechanism behind most Self-Supervised Learning Approaches
Abhishek Jha, Matthew B. Blaschko, Yuki M. Asano +1
Last couple of years have witnessed a tremendous progress in self-supervised learning (SSL), the success of which can be attributed to the introduction of useful inductive biases i…