MVItem: A Benchmark for Multi-View Cross-Modal Item Retrieval-Reference-Cited by-同舟云学术

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MVItem: A Benchmark for Multi-View Cross-Modal Item Retrieval

Published:2024 Issue: Volume:12 Page:119563-119576
ISSN:2169-3536
Container-title:IEEE Access
language:
Short-container-title:IEEE Access

Author:

Li Bo¹^ORCID,Zhu Jiansheng²,Dai Linlin³^ORCID,Jing Hui³,Huang Zhizheng³,Sui Yuteng¹

Affiliation:

1. Postgraduate Department, China Academy of Railway Sciences, Beijing, China

2. Department of Science, Technology and Information, China Railway, Beijing, China

3. Institute of Computing Technology, China Academy of Railway Sciences Corporation Ltd., Beijing, China

Funder

Foundation of China Academy of Railway Sciences

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Link

http://xplorestaging.ieee.org/ielx8/6287639/10380310/10643520.pdf?arnumber=10643520

Reference43 articles.

1. Entity-Graph Enhanced Cross-Modal Pretraining for Instance-level Product Retrieval

2. Product1M: Towards Weakly Supervised Instance-Level Product Retrieval via Cross-Modal Pretraining

3. A Systematic Review of Recommender System for e-Portfolio Domain

4. RPC: A large-scale retail product checkout dataset;Wei;arXiv:1901.07249,2019

5. Products-6K: A Large-Scale Groceries Product Recognition Dataset

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