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Found 3 papers, 2 papers with code
Progressive Video Summarization via Multimodal Self-supervised Learning
Considering that the annotation of large-scale datasets is time-consuming, we propose a multimodal self-supervised learning framework to obtain semantic representations of videos, which benefits the video summarization task.
Video Joint Modelling Based on Hierarchical Transformer for Co-summarization
Video summarization aims to automatically generate a summary (storyboard or video skim) of a video, which can facilitate large-scale video retrieval and browsing.
Precondition and Effect Reasoning for Action Recognition
In this paper, we propose to model the causal relationships based on the precondition and effect to improve the performance of action recognition.
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