{"about":{"site":"https://codewithpapers.app","non_affiliation":"Code with Papers and Syntology are not affiliated with, endorsed by, or sponsored by Papers with Code, Meta, or the pwc-archive mirror.","licence":"CC BY-SA 4.0","licence_url":"https://creativecommons.org/licenses/by-sa/4.0/legalcode","attribution":"https://codewithpapers.app/attribution","modified":"archive material modified by Syntology; see the attribution page"},"url":"/paper/unified-visual-semantic-embeddings-bridging","title":"UniVSE: Robust Visual Semantic Embeddings via Structured Semantic Representations","arxiv_id":"1904.05521","date":"2019-04-11","proceeding":null,"authors":["Hao Wu","Jiayuan Mao","Yufeng Zhang","Yuning Jiang","Lei LI","Weiwei Sun","Wei-Ying Ma"],"abstract":"We propose Unified Visual-Semantic Embeddings (UniVSE) for learning a joint\nspace of visual and textual concepts. The space unifies the concepts at\ndifferent levels, including objects, attributes, relations, and full scenes. A\ncontrastive learning approach is proposed for the fine-grained alignment from\nonly image-caption pairs. Moreover, we present an effective approach for\nenforcing the coverage of semantic components that appear in the sentence. We\ndemonstrate the robustness of Unified VSE in defending text-domain adversarial\nattacks on cross-modal retrieval tasks. Such robustness also empowers the use\nof visual cues to resolve word dependencies in novel sentences.","url_abs":"http://arxiv.org/abs/1904.05521v2","url_pdf":"http://arxiv.org/pdf/1904.05521v2.pdf","source":{"archive":"pwc-archive (Hugging Face), CC BY-SA 4.0","snapshot":"2025-07-28","licence_url":"https://creativecommons.org/licenses/by-sa/4.0/legalcode","row_kind":"abstracts"},"code_links":[{"paper_slug":"unified-visual-semantic-embeddings-bridging","repo_url":"https://github.com/salanueva/UniVSE","is_official":0,"mentioned_in_paper":0,"mentioned_in_github":1,"framework":"pytorch","reach":{"status":"unanswered"}}],"tasks":[{"task_slug":"contrastive-learning","task_name":"Contrastive Learning"},{"task_slug":"cross-modal-retrieval","task_name":"Cross-Modal Retrieval"},{"task_slug":"retrieval","task_name":"Retrieval"},{"task_slug":"sentence","task_name":"Sentence"}],"methods":[],"datasets_introduced":[],"methods_introduced":[],"results":[],"syntology":{"atlas_url":"https://app.syntology.ai/?focus=1904.05521","mcp":null,"developers":"https://syntology.ai/developers"},"arxiv_metadata":null,"syntology_extracted_results":null}