📄 transfer_learning

🎞️ ECCV2026 · 1 paper notes

Dual Masked Generative Adversarial Transformer for Unsupervised Domain Adaptation

Addressing the issue where masked image modeling only provides sample-level consistency regularization while neglecting distribution-level discrepancies under large domain gaps, Dual-MGAT decouples and eliminates information gaps and domain distribution discrepancies within the global [CLS] token feature space via a bidirectional generative adversarial adaptation pipeline.