MEP-3M: A large-scale multi-modal E-commerce product dataset-Reference-Cited by-同舟云学术

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MEP-3M: A large-scale multi-modal E-commerce product dataset

Published:2023-08 Issue: Volume:140 Page:109519
ISSN:0031-3203
Container-title:Pattern Recognition
language:en
Short-container-title:Pattern Recognition

Author:

Liu Fan^ORCID,Chen Delong,Du Xiaoyu,Gao Ruizhuo,Xu Feng

Publisher

Elsevier BV

Subject

Artificial Intelligence,Computer Vision and Pattern Recognition,Signal Processing,Software

Reference66 articles.

1. SIGIR 2020 e-commerce workshop data challenge overview;Amoualian,2020

2. Have fun storming the castle(s)!;Anderson,2021

3. VQA: visual question answering;Antol,2015

4. Character region awareness for text detection;Baek,2019

5. Lat: latent translation with cycle-consistency for video-text retrieval;Bai;CoRR,2022

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1. Dual-view multi-modal contrastive learning for graph-based recommender systems;Computers and Electrical Engineering;2024-05

2. Enhancing Product Categorization in E-commerce using NLP and Machine Learning;2024 International Conference on Inventive Computation Technologies (ICICT);2024-04-24

3. Dynamic Graph Contrastive Learning via Maximize Temporal Consistency;Pattern Recognition;2024-04

4. A Flat-Hierarchical Approach Based on Machine Learning Model for e-Commerce Product Classification;IEEE Access;2024

5. RemoteCLIP: A Vision Language Foundation Model for Remote Sensing;IEEE Transactions on Geoscience and Remote Sensing;2024

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