목록data-efficient multimodal fusion on a single gpu paper (1)

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[논문 요약/리뷰] FuseMix: Data-Efficient Multimodal Fusion on a Single GPU

Data-Efficient Multimodal Fusion on a Single GPUThe goal of multimodal alignment is to learn a single latent space that is shared between multimodal inputs. The most powerful models in this space have been trained using massive datasets of paired inputs and large-scale computational resources, making tharxiv.orgJournal: CVPR 20204Published Date: 2023년 12월 15일Keyword: Single GPU, Vision Language ..
Paper 2025. 3. 7. 16:41
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