Multimodal Dataset Distillation via Phased Teacher Models
Multimodal Dataset Distillation via Phased Teacher Models explores A phased distillation framework that creates compact synthetic datasets from large image-text data, significantly improving student model performance and reducing storage.. Commercial viability score: 7/10 in Multimodal AI.
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