Universal Cross-Domain Retrieval: Generalizing Across Classes and Domains

Author:

Paul Soumava1,Dutta Titir2,Biswas Soma2

Affiliation:

1. Indian Institute of Technology,Kharagpur

2. Indian Institute of Science,Bangalore

Publisher

IEEE

Reference35 articles.

Cited by 5 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. Unsupervised Cross-Domain Image Retrieval with Semantic-Attended Mixture-of-Experts;Proceedings of the 47th International ACM SIGIR Conference on Research and Development in Information Retrieval;2024-07-10

2. Contrastive Learning of Semantic Concepts for Open-set Cross-domain Retrieval;2023 IEEE/CVF Winter Conference on Applications of Computer Vision (WACV);2023-01

3. SEIC: Semantic Embedding with Intermediate Classes for Zero-Shot Domain Generalization;Computer Vision – ACCV 2022;2023

4. Structure-Aware Semantic-Aligned Network for Universal Cross-Domain Retrieval;Proceedings of the 45th International ACM SIGIR Conference on Research and Development in Information Retrieval;2022-07-06

5. Human–Robot Collaboration in 3D via Force Myography Based Interactive Force Estimations Using Cross-Domain Generalization;IEEE Access;2022

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