Cignoni, Giacomo & Cossu, Andrea & Gomez-Villa, Alexandra & Weijer, Joost & Carta, Antonio. (2025). Replay-free Online Continual Learning with Self-Supervised MultiPatches. 81-86. 10.14428/esann/2025.ES2025-180.
Abstract: Online Continual Learning (OCL) methods train a model on a non-stationary data stream where only a few examples are available at a time, often leveraging replay strategies. However, usage of replay is sometimes forbidden, especially in applications with strict privacy regulations. Therefore, we propose Continual MultiPatches (CMP), an effective plug-in for existing OCL self-supervised learning strategies that avoids the use of replay samples. CMP generates multiple patches from a single example and projects them into a shared feature space, where patches coming from the same example are pushed together without collapsing into a single point. CMP surpasses replay and other SSL-based strategies on OCL streams, challenging the role of replay as a go-to solution for self-supervised OCL. Code available at https://github.com/giacomo-cgn/cmp.
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