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20242026
most citedComparing ImageNet Pre-training with Digital Pathology Foundation Models for Whole Slide Image-Based Survival Analysis

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cs.CV2026

What Makes Synthetic Hard Negatives Work in Vision-Language Pretraining?

Nikos Giakoumoglou, Paschalis Giakoumoglou, Andreas Floros +2

Synthetic hard negatives generated in the representation space have proven effective for unimodal self-supervised learning, but transferring this idea to vision-language pretrainin…

cs.CV2026

ViTAMINS: An Empirical Study of Training Self-Supervised Vision Transformers with Synthetic Hard Negatives

Nikos Giakoumoglou, Andreas Floros, Kleanthis-Marios Papadopoulos +1

We introduce ViTAMINS, a method that integrates synthetic hard negatives into unsupervised vision transformer pretraining to improve representation quality. Our approach is thoroug…