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Found 4 papers, 3 papers with code
Unsupervised Video Summarization via Reinforcement Learning and a Trained Evaluator
In the proposed scheme, reinforcement learning, coupled with a unique reward generation pipeline, is employed to train the summarizer model.
Adopting Self-Supervised Learning into Unsupervised Video Summarization through Restorative Score
We show that the reconstruction loss of the model for a video with masked frames correlates with the representativeness of the remaining frames in the video.
Adopting Self-Supervised Learning into Unsupervised Video Summarization through Restorative Score.
We show that the reconstruction loss of the model for a video with masked frames correlates with the representativeness of the remaining frames in the video.
Ranked #1 on
Unsupervised Video Summarization
on TvSum
Enhancing Multivariate Time Series Classifiers through Self-Attention and Relative Positioning Infusion
Time Series Classification (TSC) is an important and challenging task for many visual computing applications.
Ranked #1 on
Time Series Classification
on UEA
