Showing cs.CVShow all
2 papers · 1 filter
cs.CV2026
Lifelong Representations: A Survey on Continual Self-Supervised Learning for Vision Models
Sergi Masip, Alicja Dobrzeniecka, Jonathan Swinnen +4
Traditionally, continual learning has assumed access to labeled data, yet many real-world applications -- such as lifelong robotics -- require models to adapt continuously from unl…
cs.CV2026
Remembering by Reconstructing: Domain Incremental Learning With Test-Time Training on Video Streams
Jonathan Swinnen, Tinne Tuytelaars
In this work we introduce a novel approach to domain incremental learning, adapting models over time to evolving, non-stationary data. In contrast to other works, we do not attempt…