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We present a parameter-efficient method for continual video question-answering (VidQA) learning.
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Zero-shot video question answering via frozen bidirectional language models
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Cl-crossvqa: A continual learning benchmark for cross-domain visual question answering
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A unified continual learning framework with general parameter-efficient tuning
Qiankun Gao, Chen Zhao, Yifan Sun, Teng Xi, Gang Zhang, Bernard Ghanem, and Jian Zhang · 2023
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Generating instance-level prompts for rehearsal-free continual learning
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Self-chained image-language model for video localization and question answering
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Vqacl: A novel visual question answering continual learning setting
Xi Zhang, Feifei Zhang, and Changsheng Xu · 2023
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Hierarchical prompts for rehearsal-free continual learning, 2024
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