Bi-directional Training for Composed Image Retrieval via Text Prompt Learning
Author:
Affiliation:
1. Australian National University
2. Idiap Research Institute
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/10483279/10483282/10484044.pdf?arnumber=10484044
Reference42 articles.
1. LaSO: Label-Set Operations Networks for Multi-Label Few-Shot Learning
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5. Automatic Attribute Discovery and Characterization from Noisy Web Data
Cited by 3 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. CaLa: Complementary Association Learning for Augmenting Comoposed Image Retrieval;Proceedings of the 47th International ACM SIGIR Conference on Research and Development in Information Retrieval;2024-07-10
2. Simple but Effective Raw-Data Level Multimodal Fusion for Composed Image Retrieval;Proceedings of the 47th International ACM SIGIR Conference on Research and Development in Information Retrieval;2024-07-10
3. TriMPL: Masked Multi-Prompt Learning with Knowledge Mixing for Vision-Language Few-shot Learning;Proceedings of the 2024 International Conference on Multimedia Retrieval;2024-05-30
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