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Tagging before Alignment: Integrating Multi-Modal Tags for Video-Text Retrieval
Vision-language alignment learning for video-text retrieval arouses a lot of attention in recent years.
Multi-modal Self-supervised Pre-training for Regulatory Genome Across Cell Types
The core problem is to model how regulatory elements interact with each other and its variability across different cell types.
Multi-modal Self-supervised Pre-training for Large-scale Genome Data
In this work, we propose a simple yet effective approach for pre-training genome data in a multi-modal and self-supervised manner, which we call GeneBERT.
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