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Game-MUG: Multimodal Oriented Game Situation Understanding and Commentary Generation Dataset
In addition, we also propose a new audience conversation augmented commentary dataset by covering the game situation and audience conversation understanding, and introducing a robust joint multimodal dual learning model as a baseline.
MCAD: Multi-teacher Cross-modal Alignment Distillation for efficient image-text retrieval
Due to the success of large-scale visual-language pretraining (VLP) models and the widespread use of image-text retrieval in industry areas, it is now critically necessary to reduce the model size and streamline their mobile-device deployment.
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