Progressive video summarization via multimodal self-supervised learning
Modern video summarization methods are based on deep neural networks that require a
large amount of annotated data for training. However, existing datasets for video …
large amount of annotated data for training. However, existing datasets for video …
Progressive video summarization via multimodal self-supervised learning
H Li, Q Ke, M Gong… - IEEE Winter Conference on …, 2023 - research.monash.edu
Modern video summarization methods are based on deep neural networks that require a
large amount of annotated data for training. However, existing datasets for video …
large amount of annotated data for training. However, existing datasets for video …
Progressive Video Summarization via Multimodal Self-supervised Learning
H Li, Q Ke, M Gong, T Drummond - 2023 IEEE/CVF Winter Conference …, 2023 - computer.org
Modern video summarization methods are based on deep neural networks that require a
large amount of annotated data for training. However, existing datasets for video …
large amount of annotated data for training. However, existing datasets for video …
[PDF][PDF] Progressive Video Summarization via Multimodal Self-supervised Learning
H Li, Q Ke, M Gong, T Drummond - openaccess.thecvf.com
Title: 40 Biggest and Most Unique Pets People Actually Own Description: Some people like
to have pets that they can put in their bags. However, some like pets that can easily …
to have pets that they can put in their bags. However, some like pets that can easily …
Progressive Video Summarization via Multimodal Self-supervised Learning
H Li, Q Ke, M Gong, T Drummond - 2023 IEEE/CVF Winter …, 2023 - ieeexplore.ieee.org
Modern video summarization methods are based on deep neural networks that require a
large amount of annotated data for training. However, existing datasets for video …
large amount of annotated data for training. However, existing datasets for video …