Leveraging domain relations for out-of-domain generalization.
A2XP, a novel domain generalization method, preserves the privacy of the objective network architecture while achieving state-of-the-art performance by disentangling the problem into expert adaptation and attention-based generalization.
A novel prompt learning strategy that leverages deep vision prompts to address domain invariance while utilizing language prompts to ensure class separability, coupled with adaptive weighting mechanisms to balance domain invariance and class separability.