Real20M: A Large-scale E-commerce Dataset for Cross-domain Retrieval

Author:

Chen Yanzhe1ORCID,Zhong Huasong2ORCID,He Xiangteng1ORCID,Peng Yuxin1ORCID,Cheng Lele2ORCID

Affiliation:

1. Peking University, Beijing, China

2. Kuaishou Technology, Beijing, China

Funder

Beijing Natural Science Foundation

Kuaishou

National Natural Science Foundation of China

National Key R&D Program of China

Publisher

ACM

Reference36 articles.

1. Effective conditioned and composed image retrieval combining CLIP-based features

2. Patrick John Chia , Giuseppe Attanasio , Federico Bianchi , Silvia Terragni , Ana Rita Magalhães , Diogo Goncalves, Ciro Greco, and Jacopo Tagliabue. 2022 . Fashionclip : Connecting language and images for product representations. arXiv preprint arXiv:2204.03972 (2022). Patrick John Chia, Giuseppe Attanasio, Federico Bianchi, Silvia Terragni, Ana Rita Magalhães, Diogo Goncalves, Ciro Greco, and Jacopo Tagliabue. 2022. Fashionclip: Connecting language and images for product representations. arXiv preprint arXiv:2204.03972 (2022).

3. Leveraging Weakly Annotated Data for Fashion Image Retrieval and Label Prediction

4. Ginger Delmas , Rafael Sampaio de Rezende , Gabriela Csurka, and Diane Larlus. 2022 . Artemis : Attention-based retrieval with text-explicit matching and implicit similarity. arXiv preprint arXiv:2203.08101 (2022). Ginger Delmas, Rafael Sampaio de Rezende, Gabriela Csurka, and Diane Larlus. 2022. Artemis: Attention-based retrieval with text-explicit matching and implicit similarity. arXiv preprint arXiv:2203.08101 (2022).

5. M5Product: Self-harmonized Contrastive Learning for E-commercial Multi-modal Pretraining

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1. Multization: Multi-Modal Summarization Enhanced by Multi-Contextually Relevant and Irrelevant Attention Alignment;ACM Transactions on Asian and Low-Resource Language Information Processing;2024-05-10

2. SPIRIT: Style-guided Patch Interaction for Fashion Image Retrieval with Text Feedback;ACM Transactions on Multimedia Computing, Communications, and Applications;2024-03-08

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