Tell Me What Is Good About This Property: Leveraging Reviews For Segment-Personalized Image Collection Summarization

no code implementations • 30 Oct 2023 • Monika Wysoczanska, Moran Beladev, Karen Lastmann Assaraf, Fengjun Wang, Ofri Kleinfeld, Gil Amsalem, Hadas Harush Boker

By incorporating the insights from reviews in our visual summaries, we enhance the summaries by presenting the relevant content to a user.

Text2Topic: Multi-Label Text Classification System for Efficient Topic Detection in User Generated Content with Zero-Shot Capabilities

no code implementations • 23 Oct 2023 • Fengjun Wang, Moran Beladev, Ofri Kleinfeld, Elina Frayerman, Tal Shachar, Eran Fainman, Karen Lastmann Assaraf, Sarai Mizrachi, Benjamin Wang

We propose Text to Topic (Text2Topic), which achieves high multi-label classification performance by employing a Bi-Encoder Transformer architecture that utilizes concatenation, subtraction, and multiplication of embeddings on both text and topic.

Decision Making Multi-Label Classification +3

MuMIC -- Multimodal Embedding for Multi-label Image Classification with Tempered Sigmoid

no code implementations • 2 Nov 2022 • Fengjun Wang, Sarai Mizrachi, Moran Beladev, Guy Nadav, Gil Amsalem, Karen Lastmann Assaraf, Hadas Harush Boker

To the best of our knowledge, we are the first to adapt contrastively learnt multimodal pretraining for real-world multi-label image classification problems, and the innovation can be transferred to other domains.

Classification Multi-Label Classification +3