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Found 4 papers, 4 papers with code
Classification of Visualization Types and Perspectives in Patents
In this paper, we adopt state-of-the-art deep learning methods for the classification of visualization types and perspectives in patent images.
Unsupervised Video Summarization via Multi-source Features
Our evaluation shows that we obtain state-of-the-art results on both datasets, while also highlighting the shortcomings of previous work with regard to the evaluation methodology.
Supervised Video Summarization via Multiple Feature Sets with Parallel Attention
The proposed architecture utilizes an attention mechanism before fusing motion features and features representing the (static) visual content, i. e., derived from an image classification model.
Ranked #1 on
Supervised Video Summarization
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Classification of Important Segments in Educational Videos using Multimodal Features
Our experiments investigate the impact of visual and temporal information, as well as the combination of multimodal features on importance prediction.
