By aligning category-level information across video, audio, and flow into one unified representation while keeping modality-specific details separate, this paper shows that standard domain generalization methods improve multimodal generalization on two action recognition benchmarks.
Person30k: A dual-meta general- ization network for person re-identification
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Bridging Domain Generalization to Multimodal Domain Generalization via Unified Representations
By aligning category-level information across video, audio, and flow into one unified representation while keeping modality-specific details separate, this paper shows that standard domain generalization methods improve multimodal generalization on two action recognition benchmarks.