2021年6月
Domain Adaptive Cross-Modal Image Retrieval via Modality and Domain Translations
IEICE TRANSACTIONS ON FUNDAMENTALS OF ELECTRONICS COMMUNICATIONS AND COMPUTER SCIENCES
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- ,
- ,
- 巻
- E104A
- 号
- 6
- 開始ページ
- 866
- 終了ページ
- 875
- 記述言語
- 英語
- 掲載種別
- 研究論文(学術雑誌)
- DOI
- 10.1587/transfun.2020IMP0011
- 出版者・発行元
- IEICE-INST ELECTRONICS INFORMATION COMMUNICATIONS ENG
Various cross-modal retrieval methods that can retrieve images related to a query sentence without text annotations have been proposed. Although a high level of retrieval performance is achieved by these methods, they have been developed for a single domain retrieval setting. When retrieval candidate images come from various domains, the retrieval performance of these methods might be decreased. To deal with this problem, we propose a new domain adaptive cross-modal retrieval method. By translating a modality and domains of a query and candidate images, our method can retrieve desired images accurately in a different domain retrieval setting. Experimental results for clipart and painting datasets showed that the proposed method has better retrieval performance than that of other conventional and state-of-the-art methods.
- リンク情報
- ID情報
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- DOI : 10.1587/transfun.2020IMP0011
- ISSN : 0916-8508
- eISSN : 1745-1337
- Web of Science ID : WOS:000657371900004