Learning a Unified Embedding for Visual Search at Pinterest

Author:

Zhai Andrew1,Wu Hao-Yu1,Tzeng Eric2,Park Dong Huk2,Rosenberg Charles1

Affiliation:

1. Pinterest, San Francisco, CA, USA

2. Pinterest & University of California, Berkeley, San Francisco, CA, USA

Publisher

ACM

Reference37 articles.

Cited by 28 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Bringing Multimodality to Amazon Visual Search System;Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining;2024-08-24

2. Challenges and Opportunities of Using Transformer-Based Multi-Task Learning in NLP Through ML Lifecycle: A Position Paper;Natural Language Processing Journal;2024-06

3. Unified Visual Preference Learning for User Intent Understanding;Proceedings of the 17th ACM International Conference on Web Search and Data Mining;2024-03-04

4. The impact of introducing textual semantics on item instance retrieval with highly similar appearance: An empirical study;Image and Vision Computing;2024-03

5. Olio: A Semantic Search Interface for Data Repositories;Proceedings of the 36th Annual ACM Symposium on User Interface Software and Technology;2023-10-29

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