A survey that argues for combining physics-driven optimization with cross-modal adversarial learning, but offers no concrete framework, experiments, or evidence.
Robust and data-efficient generalization of self-supervised mach ine learning for diagnostic imaging
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Fusing Physics-Driven Strategies and Cross-Modal Adversarial Learning: Toward Multi-Domain Applications
A survey that argues for combining physics-driven optimization with cross-modal adversarial learning, but offers no concrete framework, experiments, or evidence.