A Video Question Answering Model Based on Knowledge Distillation

Video question answering (QA) is a cross-modal task that requires understanding the video content to answer questions.Current techniques address this challenge Nail Polish by employing stacked modules, such as attention mechanisms and graph convolutional networks.These methods reason about the semantics of video features and their interaction with

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