Search Results for author: Eric Zavesky

Found 2 papers, 0 papers with code

General-Purpose Multi-Modal OOD Detection Framework

no code implementations24 Jul 2023 Viet Duong, Qiong Wu, Zhengyi Zhou, Eric Zavesky, Jiahe Chen, Xiangzhou Liu, Wen-Ling Hsu, Huajie Shao

To reach this goal, we propose a general-purpose weakly-supervised OOD detection framework, called WOOD, that combines a binary classifier and a contrastive learning component to reap the benefits of both.

Contrastive Learning Out of Distribution (OOD) Detection

Scaling New Peaks: A Viewership-centric Approach to Automated Content Curation

no code implementations9 Aug 2021 Subhabrata Majumdar, Deirdre Paul, Eric Zavesky

Summarizing video content is important for video streaming services to engage the user in a limited time span.

Anomaly Detection

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