Contrastive learning
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Automatically identifying scene boundaries in movies and TV shows
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Scene boundary detection is the problem of localizing where scenes in a video begin and end. It’s an important step towards semantic understanding of video, ...

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How to produce factually accurate automatic text summaries
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Abstractive summarization is the automatic extraction and recombination of phrases from a text in order to summarize that text. Deep-learning-based ...

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WACV: Transformers for video and contrastive learning
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Joe Tighe, senior manager for computer vision at Amazon Web Services, is a coauthor on two papers being presented at this year’s Winter Conference on ...

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Better joint representations of image and text
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This year, the Amazon Search team had two papers accepted at the Conference on Computer Vision and Pattern Recognition (CVPR), both focusing on image-text ...

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Ying Ding’s human-centered approach to AI-enhanced medical imaging diagnosis
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Even before the COVID-19 pandemic, health care capacity in the United States was strained, with not enough medical professionals to meet growing demand. ...

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Improving automatic discrimination of logos with similar texts
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Logo recognition is the task of identifying a specific logo and its location in images or videos. It helps create a safe and trustworthy shopping ...

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New contrastive-learning methods for better data representation
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Many recent advances in artificial intelligence are the result of representation learning: a machine learning model learns to represent data items as ...

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More reliable nearest-neighbor search with deep metric learning
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Many machine learning (ML) applications involve embedding data in a representation space, where the geometric relationships between embeddings carry ...

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