READ recurrent adapters with partial video-language alignment via optimal transport outperform standard fine-tuning on low-resource temporal grounding and summarization tasks.
In Thirty-First AAAI Conference on Artificial Intelligence
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Survey summarizing video-language understanding tasks, challenges, and methods from architecture, training, and data perspectives, including performance comparisons and future directions.
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READ: Recurrent Adapter with Partial Video-Language Alignment for Parameter-Efficient Transfer Learning in Low-Resource Video-Language Modeling
READ recurrent adapters with partial video-language alignment via optimal transport outperform standard fine-tuning on low-resource temporal grounding and summarization tasks.
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Video-Language Understanding: A Survey from Model Architecture, Model Training, and Data Perspectives
Survey summarizing video-language understanding tasks, challenges, and methods from architecture, training, and data perspectives, including performance comparisons and future directions.