Cai-Chang Ding

MTDDAPT: Multi-Modal Text Distribution-Aware Deep Adversarial Prompt Tuning for Robust Vision-Language Representation Learning

The proposed Multi-modal Text Distribution-Aware Deep Adversarial Prompt Tuning (MTDDAPT), which builds on multi-modal adversarial prompt coupling with frozen encoders and further introduces explicit distribution-aware regularization over class-level textual embeddings, is proposed.