{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,3,25]],"date-time":"2025-03-25T19:58:43Z","timestamp":1742932723824,"version":"3.40.3"},"publisher-location":"Singapore","reference-count":23,"publisher":"Springer Nature Singapore","isbn-type":[{"type":"print","value":"9789819785018"},{"type":"electronic","value":"9789819785025"}],"license":[{"start":{"date-parts":[[2024,11,1]],"date-time":"2024-11-01T00:00:00Z","timestamp":1730419200000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"},{"start":{"date-parts":[[2024,11,1]],"date-time":"2024-11-01T00:00:00Z","timestamp":1730419200000},"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":[[2025]]},"DOI":"10.1007\/978-981-97-8502-5_28","type":"book-chapter","created":{"date-parts":[[2024,10,31]],"date-time":"2024-10-31T14:03:04Z","timestamp":1730383384000},"page":"394-407","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":0,"title":["Semantic Consistency-Enhanced Refined Hashing for\u00a0Fine-Grained Image Retrieval"],"prefix":"10.1007","author":[{"given":"Shuoshuo","family":"Li","sequence":"first","affiliation":[]},{"given":"Kurban","family":"Ubul","sequence":"additional","affiliation":[]}],"member":"297","published-online":{"date-parts":[[2024,11,1]]},"reference":[{"key":"28_CR1","doi-asserted-by":"crossref","unstructured":"Berg, T., Liu, J., Woo\u00a0Lee, S., Alexander, M.L., Jacobs, D.W., Belhumeur, P.N.: Birdsnap: Large-scale fine-grained visual categorization of birds. In: Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, pp. 2011\u20132018 (2014)","DOI":"10.1109\/CVPR.2014.259"},{"key":"28_CR2","unstructured":"Maji, S., Rahtu, E., Kannala, J., Blaschko, M., Vedaldi, A.: Fine-grained visual classification of aircraft (2013). arXiv preprint arXiv:1306.5151"},{"key":"28_CR3","unstructured":"Khosla, A., Jayadevaprakash, N., Yao, B., Li, F.F.: Novel dataset for fine-grained image categorization: stanford dogs. In: Proceedings of the CVPR Workshop on Fine-Grained Visual Categorization (FGVC), vol.\u00a02. Citeseer (2011)"},{"key":"28_CR4","unstructured":"Li, W.J., Wang, S., Kang, W.C.: Feature learning based deep supervised hashing with pairwise labels (2015). arXiv preprint arXiv:1511.03855"},{"key":"28_CR5","doi-asserted-by":"crossref","unstructured":"Cao, Z., Long, M., Wang, J., Yu, P.S.: Hashnet: deep learning to hash by continuation. In: Proceedings of the IEEE International Conference on Computer Vision, pp. 5608\u20135617 (2017)","DOI":"10.1109\/ICCV.2017.598"},{"key":"28_CR6","doi-asserted-by":"crossref","unstructured":"Jiang, Q.Y., Li, W.J.: Asymmetric deep supervised hashing. In: Proceedings of the AAAI Conference on Artificial Intelligence, vol.\u00a032 (2018)","DOI":"10.1609\/aaai.v32i1.11814"},{"key":"28_CR7","doi-asserted-by":"crossref","unstructured":"Shen, Y., Sun, X., Wei, X.S., Jiang, Q.Y., Yang, J.: Semicon: a learning-to-hash solution for large-scale fine-grained image retrieval. In: European Conference on Computer Vision, pp. 531\u2013548. Springer (2022)","DOI":"10.1007\/978-3-031-19781-9_31"},{"key":"28_CR8","doi-asserted-by":"publisher","first-page":"2129","DOI":"10.1109\/LSP.2020.3039755","volume":"27","author":"L Ma","year":"2020","unstructured":"Ma, L., Li, X., Shi, Y., Wu, J., Zhang, Y.: Correlation filtering-based hashing for fine-grained image retrieval. IEEE Signal Process. Lett. 27, 2129\u20132133 (2020)","journal-title":"IEEE Signal Process. Lett."},{"key":"28_CR9","doi-asserted-by":"publisher","first-page":"1671","DOI":"10.1109\/TIP.2022.3145159","volume":"31","author":"ZD Chen","year":"2022","unstructured":"Chen, Z.D., Luo, X., Wang, Y., Guo, S., Xu, X.S.: Fine-grained hashing with double filtering. IEEE Trans. Image Process. 31, 1671\u20131683 (2022)","journal-title":"IEEE Trans. Image Process."},{"key":"28_CR10","doi-asserted-by":"crossref","unstructured":"Berchenko, Y.: Simplicity bias in overparameterized machine learning. In: Proceedings of the AAAI Conference on Artificial Intelligence, vol.\u00a038, pp. 11052\u201311060 (2024)","DOI":"10.1609\/aaai.v38i10.28981"},{"key":"28_CR11","doi-asserted-by":"crossref","unstructured":"Datar, M., Immorlica, N., Indyk, P., Mirrokni, V.S.: Locality-sensitive hashing scheme based on p-stable distributions. In: Proceedings of the Twentieth Annual Symposium on Computational Geometry, pp. 253\u2013262 (2004)","DOI":"10.1145\/997817.997857"},{"issue":"12","key":"28_CR12","doi-asserted-by":"publisher","first-page":"3034","DOI":"10.1109\/TPAMI.2018.2789887","volume":"40","author":"F Shen","year":"2018","unstructured":"Shen, F., Xu, Y., Liu, L., Yang, Y., Huang, Z., Shen, H.T.: Unsupervised deep hashing with similarity-adaptive and discrete optimization. IEEE Trans. Pattern Anal. Mach. Intell. 40(12), 3034\u20133044 (2018)","journal-title":"IEEE Trans. Pattern Anal. Mach. Intell."},{"key":"28_CR13","doi-asserted-by":"crossref","unstructured":"Shen, F., Shen, C., Liu, W., Tao\u00a0Shen, H.: Supervised discrete hashing. In: Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, pp. 37\u201345 (2015)","DOI":"10.1109\/CVPR.2015.7298598"},{"key":"28_CR14","doi-asserted-by":"crossref","unstructured":"He, K., Zhang, X., Ren, S., Sun, J.: Deep residual learning for image recognition. In: Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, pp. 770\u2013778 (2016)","DOI":"10.1109\/CVPR.2016.90"},{"key":"28_CR15","doi-asserted-by":"publisher","first-page":"5336","DOI":"10.1109\/TIP.2020.2971105","volume":"29","author":"S Jin","year":"2020","unstructured":"Jin, S., Yao, H., Sun, X., Zhou, S., Zhang, L., Hua, X.: Deep saliency hashing for fine-grained retrieval. IEEE Trans. Image Process. 29, 5336\u20135351 (2020)","journal-title":"IEEE Trans. Image Process."},{"key":"28_CR16","doi-asserted-by":"crossref","unstructured":"Cui, Q., Jiang, Q.Y., Wei, X.S., Li, W.J., Yoshie, O.: Exchnet: a unified hashing network for large-scale fine-grained image retrieval. In: Computer Vision\u2013ECCV 2020: 16th European Conference, Glasgow, UK, 23\u201328 August 2020, Proceedings, Part III 16, pp. 189\u2013205. Springer (2020)","DOI":"10.1007\/978-3-030-58580-8_12"},{"key":"28_CR17","doi-asserted-by":"publisher","DOI":"10.1016\/j.patcog.2022.108618","volume":"128","author":"Q Zhao","year":"2022","unstructured":"Zhao, Q., Wang, X., Lyu, S., Liu, B., Yang, Y.: A feature consistency driven attention erasing network for fine-grained image retrieval. Pattern Recogn. 128, 108618 (2022)","journal-title":"Pattern Recogn."},{"key":"28_CR18","doi-asserted-by":"crossref","unstructured":"Wei, X.S., Shen, Y., Sun, X., Wang, P., Peng, Y.: Attribute-aware deep hashing with self-consistency for large-scale fine-grained image retrieval. IEEE Trans. Pattern Anal. Mach. Intell. (2023)","DOI":"10.1109\/TPAMI.2023.3299563"},{"key":"28_CR19","doi-asserted-by":"crossref","unstructured":"Lu, X., Chen, S., Cao, Y., Zhou, X., Lu, X.: Attributes grouping and mining hashing for fine-grained image retrieval. In: Proceedings of the 31st ACM International Conference on Multimedia, pp. 6558\u20136566 (2023)","DOI":"10.1145\/3581783.3612043"},{"key":"28_CR20","doi-asserted-by":"publisher","first-page":"314","DOI":"10.1109\/TIP.2021.3131042","volume":"31","author":"X Xiang","year":"2021","unstructured":"Xiang, X., Zhang, Y., Jin, L., Li, Z., Tang, J.: Sub-region localized hashing for fine-grained image retrieval. IEEE Trans. Image Process. 31, 314\u2013326 (2021)","journal-title":"IEEE Trans. Image Process."},{"issue":"12","key":"28_CR21","doi-asserted-by":"publisher","first-page":"2916","DOI":"10.1109\/TPAMI.2012.193","volume":"35","author":"Y Gong","year":"2012","unstructured":"Gong, Y., Lazebnik, S., Gordo, A., Perronnin, F.: Iterative quantization: a procrustean approach to learning binary codes for large-scale image retrieval. IEEE Trans. Pattern Anal. Mach. Intell. 35(12), 2916\u20132929 (2012)","journal-title":"IEEE Trans. Pattern Anal. Mach. Intell."},{"key":"28_CR22","doi-asserted-by":"crossref","unstructured":"Yang, Y., Geng, L., Lai, H., Pan, Y., Yin, J.: Feature pyramid hashing. In: Proceedings of the 2019 on International Conference on Multimedia Retrieval, pp. 114\u2013122 (2019)","DOI":"10.1145\/3323873.3325015"},{"key":"28_CR23","unstructured":"Van\u00a0der Maaten, L., Hinton, G.: Visualizing data using t-SNE. J. Mach. Learn. Res. 9(11) (2008)"}],"container-title":["Lecture Notes in Computer Science","Pattern Recognition and Computer Vision"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/978-981-97-8502-5_28","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,10,31]],"date-time":"2024-10-31T14:21:09Z","timestamp":1730384469000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/978-981-97-8502-5_28"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2024,11,1]]},"ISBN":["9789819785018","9789819785025"],"references-count":23,"URL":"https:\/\/doi.org\/10.1007\/978-981-97-8502-5_28","relation":{},"ISSN":["0302-9743","1611-3349"],"issn-type":[{"type":"print","value":"0302-9743"},{"type":"electronic","value":"1611-3349"}],"subject":[],"published":{"date-parts":[[2024,11,1]]},"assertion":[{"value":"1 November 2024","order":1,"name":"first_online","label":"First Online","group":{"name":"ChapterHistory","label":"Chapter History"}},{"value":"PRCV","order":1,"name":"conference_acronym","label":"Conference Acronym","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Chinese Conference on Pattern Recognition and Computer Vision  (PRCV)","order":2,"name":"conference_name","label":"Conference Name","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Urumqi","order":3,"name":"conference_city","label":"Conference City","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"China","order":4,"name":"conference_country","label":"Conference Country","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"2024","order":5,"name":"conference_year","label":"Conference Year","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"18 October 2024","order":7,"name":"conference_start_date","label":"Conference Start Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"20 October 2024","order":8,"name":"conference_end_date","label":"Conference End Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"7","order":9,"name":"conference_number","label":"Conference Number","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"ccprcv2024","order":10,"name":"conference_id","label":"Conference ID","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"http:\/\/2024.prcv.cn\/","order":11,"name":"conference_url","label":"Conference URL","group":{"name":"ConferenceInfo","label":"Conference Information"}}]}}