{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,1,1]],"date-time":"2026-01-01T23:54:26Z","timestamp":1767311666626,"version":"3.48.0"},"publisher-location":"Singapore","reference-count":18,"publisher":"Springer Nature Singapore","isbn-type":[{"value":"9789819539055","type":"print"},{"value":"9789819539062","type":"electronic"}],"license":[{"start":{"date-parts":[[2026,1,1]],"date-time":"2026-01-01T00:00:00Z","timestamp":1767225600000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"},{"start":{"date-parts":[[2026,1,1]],"date-time":"2026-01-01T00:00:00Z","timestamp":1767225600000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2026]]},"DOI":"10.1007\/978-981-95-3906-2_24","type":"book-chapter","created":{"date-parts":[[2026,1,1]],"date-time":"2026-01-01T23:50:04Z","timestamp":1767311404000},"page":"338-348","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":0,"title":["Sketch-Based Poetry Retrieval with\u00a0Unsupervised Vision-and-Language Pre-training"],"prefix":"10.1007","author":[{"given":"Yuqing","family":"Li","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Yuting","family":"Wei","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Yangfu","family":"Zhu","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Bin","family":"Wu","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","published-online":{"date-parts":[[2026,1,2]]},"reference":[{"key":"24_CR1","doi-asserted-by":"crossref","unstructured":"Chen, C., Li, P., Sun, M., Liu, Y.: End-to-end unsupervised vision-and-language pre-training with referring expression matching. In: Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, pp. 10799\u201310810 (2022)","DOI":"10.18653\/v1\/2022.emnlp-main.742"},{"key":"24_CR2","doi-asserted-by":"crossref","unstructured":"Chen, C., Li, P., Sun, M., Liu, Y.: Weakly supervised vision-and-language pre-training with relative representations. In: Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics, pp. 8341\u20138355 (2023)","DOI":"10.18653\/v1\/2023.acl-long.464"},{"key":"24_CR3","doi-asserted-by":"crossref","unstructured":"Chowdhury, P.N., Sain, A., Bhunia, A.K., et\u00a0al.: FS-COCO: towards understanding of freehand sketches of common objects in context. In: Computer Vision \u2013 ECCV 2022, pp. 253\u2013270 (2022)","DOI":"10.1007\/978-3-031-20074-8_15"},{"issue":"1","key":"24_CR4","doi-asserted-by":"publisher","first-page":"3094","DOI":"10.1038\/s41467-022-30761-2","volume":"13","author":"N Fei","year":"2022","unstructured":"Fei, N., et al.: Towards artificial general intelligence via a multimodal foundation model. Nat. Commun. 13(1), 3094 (2022)","journal-title":"Nat. Commun."},{"key":"24_CR5","doi-asserted-by":"crossref","unstructured":"Gao, C., Liu, Q., Xu, Q., Wang, L., Liu, J., Zou, C.: SketchyCOCO: image generation from freehand scene sketches. In: Proceedings of the IEEE\/CVF Conference on Computer Vision and Pattern Recognition (CVPR) (2020)","DOI":"10.1109\/CVPR42600.2020.00522"},{"key":"24_CR6","doi-asserted-by":"crossref","unstructured":"Ge, J., et al.: Consistencies are all you need for semi-supervised vision-language tracking. In: Proceedings of the 32nd ACM International Conference on Multimedia, pp. 1895\u20131904 (2024)","DOI":"10.1145\/3664647.3680657"},{"key":"24_CR7","unstructured":"Gu, J., Meng, X., Lu, G., et\u00a0al.: Wukong: a 100 million large-scale Chinese cross-modal pre-training benchmark. In: Advances in Neural Information Processing Systems, vol.\u00a035, pp. 26418\u201326431 (2022)"},{"key":"24_CR8","doi-asserted-by":"crossref","unstructured":"Guo, Z., Wang, T.J.J., Pehlivan, S., Radman, A., Laaksonen, J.: PiTL: cross-modal retrieval with weakly-supervised vision-language pre-training via prompting. In: Proceedings of the 46th International ACM SIGIR Conference on Research and Development in Information Retrieval, pp. 2261\u20132265 (2023)","DOI":"10.1145\/3539618.3592038"},{"key":"24_CR9","unstructured":"He, J., Zhou, C., Ma, X., Berg-Kirkpatrick, T., Neubig, G.: Towards a unified view of parameter-efficient transfer learning. In: International Conference on Learning Representations (2022)"},{"key":"24_CR10","unstructured":"Li, W., Qi, F., Sun, M., Yi, X., Zhang, J.: CCPM: a Chinese classical poetry matching dataset. arXiv preprint arXiv:2106.01979 (2021)"},{"key":"24_CR11","doi-asserted-by":"crossref","unstructured":"Li, Y., Zhang, Y., Wu, B., Wen, J.R., Song, R., Bai, T.: A multi-modal knowledge graph for classical Chinese poetry. In: Findings of the Association for Computational Linguistics: EMNLP 2022 pp. 2318\u20132326 (2022)","DOI":"10.18653\/v1\/2022.findings-emnlp.171"},{"key":"24_CR12","doi-asserted-by":"crossref","unstructured":"Liu, S., Johns, E., Davison, A.J.: End-to-end multi-task learning with attention. In: Proceedings of the IEEE\/CVF Conference on Computer Vision and Pattern Recognition (CVPR) (2019)","DOI":"10.1109\/CVPR.2019.00197"},{"issue":"8","key":"24_CR13","doi-asserted-by":"publisher","first-page":"1939","DOI":"10.1109\/TPAMI.2018.2878849","volume":"41","author":"Y Liu","year":"2019","unstructured":"Liu, Y., et al.: Richer convolutional features for edge detection. IEEE Trans. Pattern Anal. Mach. Intell. 41(8), 1939\u20131946 (2019)","journal-title":"IEEE Trans. Pattern Anal. Mach. Intell."},{"key":"24_CR14","unstructured":"Shan, B., Yin, W., Sun, Y., et\u00a0al.: ERNIE-ViL 2.0: multi-view contrastive learning for image-text pre-training. CoRR abs\/2209.15270 (2022)"},{"key":"24_CR15","doi-asserted-by":"crossref","unstructured":"Xie, C., Cai, H., Li, J., et\u00a0al.: CCMB: a large-scale Chinese cross-modal benchmark. In: Proceedings of the 31st ACM International Conference on Multimedia, pp. 4219\u20134227 (2023)","DOI":"10.1145\/3581783.3611877"},{"key":"24_CR16","unstructured":"Yang, A., Pan, J., Lin, J., et\u00a0al.: Chinese CLIP: contrastive vision-language pretraining in chinese. arXiv preprint arXiv:2211.01335 (2022)"},{"key":"24_CR17","doi-asserted-by":"crossref","unstructured":"Zhang, R., Zhang, W., Fang, R., et\u00a0al.: Tip-Adapter: training-free adaption of CLIP for Few-Shot classification. In: Computer Vision \u2013 ECCV, pp. 493\u2013510 (2022)","DOI":"10.1007\/978-3-031-19833-5_29"},{"key":"24_CR18","doi-asserted-by":"crossref","unstructured":"Zhou, M., Yu, L., Singh, A., et\u00a0al.: Unsupervised vision-and-language pretraining via retrieval-based multi-granular alignment. In: 2022 IEEE\/CVF Conference on Computer Vision and Pattern Recognition (CVPR), pp. 16464\u201316473 (2022)","DOI":"10.1109\/CVPR52688.2022.01599"}],"container-title":["Lecture Notes in Computer Science","Database Systems for Advanced Applications"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/978-981-95-3906-2_24","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2026,1,1]],"date-time":"2026-01-01T23:50:06Z","timestamp":1767311406000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/978-981-95-3906-2_24"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2026]]},"ISBN":["9789819539055","9789819539062"],"references-count":18,"URL":"https:\/\/doi.org\/10.1007\/978-981-95-3906-2_24","relation":{},"ISSN":["0302-9743","1611-3349"],"issn-type":[{"value":"0302-9743","type":"print"},{"value":"1611-3349","type":"electronic"}],"subject":[],"published":{"date-parts":[[2026]]},"assertion":[{"value":"2 January 2026","order":1,"name":"first_online","label":"First Online","group":{"name":"ChapterHistory","label":"Chapter History"}},{"value":"DASFAA","order":1,"name":"conference_acronym","label":"Conference Acronym","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"International Conference on Database Systems for Advanced Applications","order":2,"name":"conference_name","label":"Conference Name","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Singapore","order":3,"name":"conference_city","label":"Conference City","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Singapore","order":4,"name":"conference_country","label":"Conference Country","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"2025","order":5,"name":"conference_year","label":"Conference Year","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"26 May 2025","order":7,"name":"conference_start_date","label":"Conference Start Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"29 May 2025","order":8,"name":"conference_end_date","label":"Conference End Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"30","order":9,"name":"conference_number","label":"Conference Number","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"dasfaa2025","order":10,"name":"conference_id","label":"Conference ID","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"https:\/\/dasfaa2025.github.io","order":11,"name":"conference_url","label":"Conference URL","group":{"name":"ConferenceInfo","label":"Conference Information"}}]}}