CaLa: Complementary Association Learning for Augmenting Comoposed Image Retrieval-Reference-Cited by-同舟云学术

CaLa: Complementary Association Learning for Augmenting Comoposed Image Retrieval

Published:2024-07-10 Issue: Volume:19742 Page:2177-2187
ISSN:
Container-title:Proceedings of the 47th International ACM SIGIR Conference on Research and Development in Information Retrieval
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Author:

Jiang Xintong¹^ORCID,Wang Yaxiong²^ORCID,Li Mengjian³^ORCID,Wu Yujiao⁴^ORCID,Hu Bingwen⁵^ORCID,Qian Xueming¹^ORCID

Affiliation:

1. Xi'an Jiaotong University, Xi'an, China

2. Hefei University of Technology, Hefei, China

3. Zhejiang Lab, Hangzhou, China

4. CSRIO, Hobart, Australia

5. Anhui University of Technology, Hefei, China

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3626772.3657823

Reference40 articles.

1. Yang Bai, Xinxing Xu, Yong Liu, Salman Khan, Fahad Khan, Wangmeng Zuo, Rick Siow Mong Goh, and Chun-Mei Feng. 2023. Sentence-level Prompts Benefit Composed Image Retrieval. arXiv preprint arXiv:2310.05473 (2023).

2. Alberto Baldrati Marco Bertini Tiberio Uricchio and Alberto Del Bimbo. 2021. Conditioned image retrieval for fashion using contrastive learning and CLIPbased features. In ACM Multimedia Asia. 1--5.

3. Conditioned and composed image retrieval combining and partially fine-tuning CLIP-based features

4. Yanzhe Chen, Jiahuan Zhou, and Yuxin Peng. 2024. SPIRIT: Style-guided Patch Interaction for Fashion Image Retrieval with Text Feedback. ACM Transactions on Multimedia Computing, Communications and Applications (2024).

5. Ginger Delmas, Rafael S. Rezende, Gabriela Csurka, and Diane Larlus. 2022. ARTEMIS: Attention-based Retrieval with Text-Explicit Matching and Implicit Similarity. In International Conference on Learning Representations. https:// openreview.net/forum?id=CVfLvQq9gLo