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cs.CV2026
EigDiff: Eigensample Diffusion - or how to significantly reduce training dataset size with marginal performance variation?
Andrei Jarca, Vlad Hondru, Florinel-Alin Croitoru +1
Diffusion models are notoriously expensive to train, requiring large-scale datasets to learn how to gradually reverse the noise from images over multiple small denoising steps. Cur…
cs.CV2026
Few-Medoids: An Embarrassingly Simple Coreset Selection Method for Few-Shot Knowledge Distillation
Cemil-Andrei Dilmac, Florinel-Alin Croitoru, Radu Tudor Ionescu
Coreset selection aims to identify a small and highly representative subset of a massive dataset for efficient model training. The problem remains challenging even in the few-shot…
cs.CV2024
Masked Image Modeling: A Survey
Vlad Hondru, Florinel Alin Croitoru, Shervin Minaee +2
In this work, we survey recent studies on masked image modeling (MIM), an approach that emerged as a powerful self-supervised learning technique in computer vision. The MIM task in…