{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,6,9]],"date-time":"2025-06-09T11:49:00Z","timestamp":1749469740381,"version":"3.37.3"},"reference-count":27,"publisher":"Springer Science and Business Media LLC","issue":"3","license":[{"start":{"date-parts":[[2022,7,20]],"date-time":"2022-07-20T00:00:00Z","timestamp":1658275200000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/2.zoppoz.workers.dev:443\/https\/www.springernature.com\/gp\/researchers\/text-and-data-mining"},{"start":{"date-parts":[[2022,7,20]],"date-time":"2022-07-20T00:00:00Z","timestamp":1658275200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/2.zoppoz.workers.dev:443\/https\/www.springernature.com\/gp\/researchers\/text-and-data-mining"}],"funder":[{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["No.52075435","No.61771386"],"award-info":[{"award-number":["No.52075435","No.61771386"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100007128","name":"Natural Science Foundation of Shaanxi Province","doi-asserted-by":"publisher","award":["No.2021JM-340"],"award-info":[{"award-number":["No.2021JM-340"]}],"id":[{"id":"10.13039\/501100007128","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":["SIViP"],"published-print":{"date-parts":[[2023,4]]},"DOI":"10.1007\/s11760-022-02291-3","type":"journal-article","created":{"date-parts":[[2022,7,20]],"date-time":"2022-07-20T11:06:05Z","timestamp":1658315165000},"page":"807-815","update-policy":"https:\/\/2.zoppoz.workers.dev:443\/https\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":2,"title":["Coordinate feature fusion networks for fine-grained image classification"],"prefix":"10.1007","volume":"17","author":[{"given":"Kaiyang","family":"Liao","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Gang","family":"Huang","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Yuanlin","family":"Zheng","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Guangfeng","family":"Lin","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Congjun","family":"Cao","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","published-online":{"date-parts":[[2022,7,20]]},"reference":[{"key":"2291_CR1","unstructured":"Krizhevsky Alex, Ilya Sutskever, and Geoffrey E. Hinton.: Imagenet classification with deep convolutional neural networks. In: International Conference on Neural Information Processing Systems. 25:1097\u20131105 (2012)"},{"key":"2291_CR2","unstructured":"Ren, Shaoqing, et al.: Faster r-cnn: Towards real-time object detection with region proposal networks. In: International Conference on Neural Information Processing Systems. 28, 91\u201399 (2015)"},{"key":"2291_CR3","doi-asserted-by":"crossref","unstructured":"Long, Jonathan, Evan Shelhamer, and Trevor Darrell.: Fully convolutional networks for semantic segmentation. In: IEEE Transactions on Pattern Analysis and Machine Intelligence . 39(4), 640\u2013651 (2015)","DOI":"10.1109\/TPAMI.2016.2572683"},{"key":"2291_CR4","doi-asserted-by":"crossref","unstructured":"Xie, Lingxi, et al.: Hierarchical part matching for fine-grained visual categorization. In: Proceedings of the IEEE\/CVF Conference on Computer Vision and Pattern Recognition, pp. 1641\u20131648 (2013)","DOI":"10.1109\/ICCV.2013.206"},{"key":"2291_CR5","doi-asserted-by":"publisher","unstructured":"Chai, Y., Lempitsky, V. & Zisserman, A.: Symbiotic Segmentation and Part Localization for Fine-Grained Categorization. In: IEEE International Conference on Computer Vision, pp. 321\u2013328 (2013). https:\/\/2.zoppoz.workers.dev:443\/https\/doi.org\/10.1109\/iccv.2013.47.","DOI":"10.1109\/iccv.2013.47"},{"key":"2291_CR6","first-page":"834","volume-title":"European Conference on Computer Vision","author":"N Zhang","year":"2014","unstructured":"Zhang, N., et al.: Part-based R-CNNs for fine-grained category detection. In: European Conference on Computer Vision, pp. 834\u2013849. Springer, Cham (2014)"},{"key":"2291_CR7","doi-asserted-by":"crossref","unstructured":"Zheng, Heliang, et al.: Learning multi-attention convolutional neural network for fine-grained image recognition. In: Proceedings of the IEEE international conference on computer vision, pp. 5209\u20135217(2017)","DOI":"10.1109\/ICCV.2017.557"},{"key":"2291_CR8","doi-asserted-by":"crossref","unstructured":"Zhang, Xiaopeng, et al.: Picking deep filter responses for fine-grained image recognition. In: Proceedings of the IEEE conference on computer vision and pattern recognition, pp. 1134\u20131142(2016)","DOI":"10.1109\/CVPR.2016.128"},{"issue":"6","key":"2291_CR9","doi-asserted-by":"publisher","first-page":"1245","DOI":"10.1109\/TMM.2017.2648498","volume":"19","author":"B Zhao","year":"2017","unstructured":"Zhao, B., Wu, X., Feng, J., Peng, Q., Yan, S.: Diversified visual attention networks for fine-grained object classification. IEEE Trans. Multimedia 19(6), 1245\u20131256 (2017)","journal-title":"IEEE Trans. Multimedia"},{"key":"2291_CR10","doi-asserted-by":"crossref","unstructured":"Liu, W., Anguelov, D., et al.: Ssd: Single shot multibox detector. In: European Conference on Computer Vision. Springer, Cham, pp. 21\u201337 (2016)","DOI":"10.1007\/978-3-319-46448-0_2"},{"key":"2291_CR11","doi-asserted-by":"crossref","unstructured":"Lin, Tsung-Yi, et al.: Feature pyramid networks for object detection. In: Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, pp. 2117\u20132125 (2017)","DOI":"10.1109\/CVPR.2017.106"},{"key":"2291_CR12","doi-asserted-by":"crossref","unstructured":"Cai, Sijia, Wangmeng Zuo, and Lei Zhang.: Higher-order integration of hierarchical convolutional activations for fine-grained visual categorization. In: Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, pp. 511\u2013520 (2017)","DOI":"10.1109\/ICCV.2017.63"},{"key":"2291_CR13","doi-asserted-by":"publisher","unstructured":"Song, J. & Yang, R.: Feature Boosting, Suppression, and Diversification for Fine-Grained Visual Classification. In: 2021 International Joint Conference on Neural Networks (IJCNN), pp. 1\u20138 (2021) https:\/\/2.zoppoz.workers.dev:443\/https\/doi.org\/10.1109\/ijcnn52387.2021.9534004","DOI":"10.1109\/ijcnn52387.2021.9534004"},{"key":"2291_CR14","doi-asserted-by":"crossref","unstructured":"Lin, T. Y., RoyChowdhury, A., & Maji, S.: Bilinear cnn models for fine-grained visual recognition. In: Proceedings of the IEEE international conference on computer vision, pp. 1449\u20131457 (2015)","DOI":"10.1109\/ICCV.2015.170"},{"key":"2291_CR15","doi-asserted-by":"crossref","unstructured":"Gao, Yu, et al.: Channel interaction networks for fine-grained image categorization. In: Proceedings of the AAAI Conference on Artificial Intelligence. 34(07), 10818\u201310825 (2020)","DOI":"10.1609\/aaai.v34i07.6712"},{"key":"2291_CR16","unstructured":"Diao Q, Jiang Y, Wen B, et al.: MetaFormer: A Unified Meta Framework for Fine-Grained Recognition. arXiv preprint arXiv:2203.02751. (2022)"},{"key":"2291_CR17","doi-asserted-by":"crossref","unstructured":"Hou, Q., Zhou, D., & Feng, J.: Coordinate attention for efficient mobile network design. In: Proceedings of the IEEE\/CVF Conference on Computer Vision and Pattern Recognition, pp. 13713\u201313722 (2021)","DOI":"10.1109\/CVPR46437.2021.01350"},{"key":"2291_CR18","doi-asserted-by":"crossref","unstructured":"Radenovic, F., Tolias, G. & Chum, O.: Fine-Tuning CNN Image Retrieval with No Human Annotation. IEEE Trans Pattern Anal Mach Intell. 41(7), 1655\u20131668 (2019). https:\/\/2.zoppoz.workers.dev:443\/https\/www.ncbi.nlm.nih.gov\/pubmed\/29994246","DOI":"10.1109\/TPAMI.2018.2846566"},{"key":"2291_CR19","doi-asserted-by":"crossref","unstructured":"Yang, Ze, et al.: Learning to navigate for fine-grained classification. In: Proceedings of the European Conference on Computer Vision (ECCV), pp. 420\u2013435 (2018)","DOI":"10.1007\/978-3-030-01264-9_26"},{"key":"2291_CR20","doi-asserted-by":"crossref","unstructured":"Zhuang, P., Wang, Y., & Qiao, Y.: Learning attentive pairwise interaction for fine-grained classification. In: Proceedings of the AAAI Conference on Artificial Intelligence. 34(07), 13130\u201313137 (2020)","DOI":"10.1609\/aaai.v34i07.7016"},{"key":"2291_CR21","doi-asserted-by":"crossref","unstructured":"Zhou, M., Bai, Y., Zhang, W., Zhao, T., & Mei, T.: Look-into-object: Self-supervised structure modeling for object recognition. In: Proceedings of the IEEE\/CVF Conference on Computer Vision and Pattern Recognition, pp. 11774\u201311783 (2020)","DOI":"10.1109\/CVPR42600.2020.01179"},{"issue":"1s","key":"2291_CR22","doi-asserted-by":"publisher","first-page":"1","DOI":"10.1145\/3492221","volume":"18","author":"M Tan","year":"2022","unstructured":"Tan, M., Yuan, F., Yu, J., Wang, G., Gu, X.: Fine-grained Image Classification via Multi-scale Selective Hierarchical Biquadratic Pooling. ACM Trans. Multimed. Comput. Commun. Appl. 18(1s), 1\u201323 (2022)","journal-title":"ACM Trans. Multimed. Comput. Commun. Appl."},{"key":"2291_CR23","doi-asserted-by":"publisher","first-page":"1","DOI":"10.1016\/j.neucom.2021.03.114","volume":"449","author":"Y Zhang","year":"2021","unstructured":"Zhang, Y., et al.: MSEC: Multi-Scale Erasure and Confusion for fine-grained image classification. Neurocomputing 449, 1\u201314 (2021)","journal-title":"Neurocomputing"},{"key":"2291_CR24","doi-asserted-by":"publisher","first-page":"10821","DOI":"10.1016\/j.patcog.2021.108219","volume":"121","author":"L Zhang","year":"2022","unstructured":"Zhang, L., Huang, S., Liu, W.: Learning sequentially diversified representations for fine-grained categorization. Pattern Recognit. 121, 10821 (2022)","journal-title":"Pattern Recognit."},{"key":"2291_CR25","doi-asserted-by":"crossref","unstructured":"Zhang, L., Huang, S., Liu, W., & Tao, D.: Learning a mixture of granularity-specific experts for fine-grained categorization. In: Proceedings of the IEEE\/CVF International Conference on Computer Vision, pp. 8331\u20138340 (2019)","DOI":"10.1109\/ICCV.2019.00842"},{"key":"2291_CR26","doi-asserted-by":"crossref","unstructured":"Ding, Y., Zhou, Y., Zhu, Y., Ye, Q., & Jiao, J.: Selective sparse sampling for fine-grained image recognition. In: Proceedings of the IEEE\/CVF International Conference on Computer Vision, pp. 6599\u20136608 (2019)","DOI":"10.1109\/ICCV.2019.00670"},{"key":"2291_CR27","doi-asserted-by":"crossref","unstructured":"Liu, Chuanbin, et al.: Filtration and distillation: Enhancing region attention for fine-grained visual categorization. In: Proceedings of the AAAI Conference on Artificial Intelligence. 34(07), 11555\u201311562 (2020)","DOI":"10.1609\/aaai.v34i07.6822"}],"container-title":["Signal, Image and Video Processing"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/2.zoppoz.workers.dev:443\/https\/link.springer.com\/content\/pdf\/10.1007\/s11760-022-02291-3.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/2.zoppoz.workers.dev:443\/https\/link.springer.com\/article\/10.1007\/s11760-022-02291-3\/fulltext.html","content-type":"text\/html","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/2.zoppoz.workers.dev:443\/https\/link.springer.com\/content\/pdf\/10.1007\/s11760-022-02291-3.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,9,29]],"date-time":"2024-09-29T13:25:38Z","timestamp":1727616338000},"score":1,"resource":{"primary":{"URL":"https:\/\/2.zoppoz.workers.dev:443\/https\/link.springer.com\/10.1007\/s11760-022-02291-3"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2022,7,20]]},"references-count":27,"journal-issue":{"issue":"3","published-print":{"date-parts":[[2023,4]]}},"alternative-id":["2291"],"URL":"https:\/\/2.zoppoz.workers.dev:443\/https\/doi.org\/10.1007\/s11760-022-02291-3","relation":{},"ISSN":["1863-1703","1863-1711"],"issn-type":[{"type":"print","value":"1863-1703"},{"type":"electronic","value":"1863-1711"}],"subject":[],"published":{"date-parts":[[2022,7,20]]},"assertion":[{"value":"21 January 2022","order":1,"name":"received","label":"Received","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"15 June 2022","order":2,"name":"revised","label":"Revised","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"15 June 2022","order":3,"name":"accepted","label":"Accepted","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"20 July 2022","order":4,"name":"first_online","label":"First Online","group":{"name":"ArticleHistory","label":"Article History"}}]}}