AI RESEARCH
AdvDINO: Domain-Adversarial Self-Supervised Representation Learning for Spatial Proteomics
arXiv CS.AI
•
ArXi:2508.04955v2 Announce Type: replace-cross Self-supervised learning (SSL) has emerged as a powerful approach for learning visual representations without manual annotations. However, the robustness of standard SSL methods to domain shift -- systematic differences across data sources -- remains uncertain, posing an especially critical challenge in biomedical imaging where batch effects can obscure true biological signals.