{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,9,11]],"date-time":"2025-09-11T19:28:17Z","timestamp":1757618897203,"version":"3.44.0"},"publisher-location":"Singapore","reference-count":32,"publisher":"Springer Nature Singapore","isbn-type":[{"type":"print","value":"9789819697939"},{"type":"electronic","value":"9789819697946"}],"license":[{"start":{"date-parts":[[2025,1,1]],"date-time":"2025-01-01T00:00:00Z","timestamp":1735689600000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"},{"start":{"date-parts":[[2025,1,1]],"date-time":"2025-01-01T00:00:00Z","timestamp":1735689600000},"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\/978-981-96-9794-6_24","type":"book-chapter","created":{"date-parts":[[2025,7,14]],"date-time":"2025-07-14T06:12:51Z","timestamp":1752473571000},"page":"283-297","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":0,"title":["Center Corrective Representative Points for Oriented Object Detection"],"prefix":"10.1007","author":[{"given":"Rui","family":"Ling","sequence":"first","affiliation":[]},{"given":"Yunfei","family":"Yin","sequence":"additional","affiliation":[]},{"given":"Xianjian","family":"Bao","sequence":"additional","affiliation":[]}],"member":"297","published-online":{"date-parts":[[2025,7,15]]},"reference":[{"key":"24_CR1","doi-asserted-by":"crossref","unstructured":"Ding, J. et al.: Learning RoI transformer for oriented object detection in aerial images. In: Proceedings of the IEEE\/CVF Conference on Computer Vision and Pattern Recognition, pp. 2849\u20132858 (2019)","DOI":"10.1109\/CVPR.2019.00296"},{"key":"24_CR2","doi-asserted-by":"crossref","unstructured":"Yang, X. et al.: R3DET: refined single-stage detector with feature refinement for rotating object. In: Proceedings of the AAAI Conference on Artificial Intelligence, pp. 3163\u20133171 (2021)","DOI":"10.1609\/aaai.v35i4.16426"},{"key":"24_CR3","doi-asserted-by":"crossref","unstructured":"Yang, X. et al.: Dense label encoding for boundary discontinuity free rotation detection. In: Proceedings of the IEEE\/CVF Conference on Computer Vision and Pattern Recognition, pp. 15819\u201315829 (2021)","DOI":"10.1109\/CVPR46437.2021.01556"},{"key":"24_CR4","doi-asserted-by":"crossref","unstructured":"Xu, H. et al.: Rethinking Boundary Discontinuity Problem for Oriented Object Detection. Presented at the (2024)","DOI":"10.1109\/CVPR52733.2024.01648"},{"key":"24_CR5","doi-asserted-by":"publisher","first-page":"1536","DOI":"10.3390\/rs14071536","volume":"14","author":"P Wang","year":"2022","unstructured":"Wang, P., et al.: Arbitrarily oriented dense object detection based on center point network in remote sensing images. Remote Sens. 14, 1536 (2022)","journal-title":"Remote Sens."},{"key":"24_CR6","doi-asserted-by":"publisher","unstructured":"Yang, X. et al.: Arbitrary-oriented object detection with circular smooth label. In: Vedaldi, A., Bischof, H., Brox, T., Frahm, JM. (eds.) Computer vision\u2013ECCV 2020: 16th European Conference, Glasgow, UK, 23\u201328 August 2020, proceedings, part VIII 16. pp. 677\u2013694. Springer (2020). https:\/\/doi.org\/10.1007\/978-3-030-58598-3_40","DOI":"10.1007\/978-3-030-58598-3_40"},{"key":"24_CR7","unstructured":"Yang, X. et al.: Rethinking rotated object detection with Gaussian Wasserstein distance loss. In: International Conference on Machine Learning, pp. 11830\u201311841. PMLR (2021)"},{"key":"24_CR8","doi-asserted-by":"crossref","unstructured":"Yang, Z. et al.: Reppoints: point set representation for object detection. In: Proceedings of the IEEE\/CVF International Conference on Computer Vision, pp. 9657\u20139666 (2019)","DOI":"10.1109\/ICCV.2019.00975"},{"key":"24_CR9","doi-asserted-by":"crossref","unstructured":"Li, W. et al.: Oriented reppoints for aerial object detection. In: Proceedings of the IEEE\/CVF Conference on Computer Vision and Pattern Recognition, pp. 1829\u20131838 (2022)","DOI":"10.1109\/CVPR52688.2022.00187"},{"key":"24_CR10","doi-asserted-by":"crossref","unstructured":"Guo, Z. et al.: Beyond bounding-box: Convex-hull feature adaptation for oriented and densely packed object detection. In: Proceedings of the IEEE\/CVF Conference on Computer Vision and Pattern Recognition, pp. 8792\u20138801 (2021)","DOI":"10.1109\/CVPR46437.2021.00868"},{"key":"24_CR11","doi-asserted-by":"publisher","first-page":"757","DOI":"10.3390\/rs15030757","volume":"15","author":"L Hou","year":"2023","unstructured":"Hou, L., et al.: G-rep: Gaussian representation for arbitrary-oriented object detection. Remote Sens. 15, 757 (2023)","journal-title":"Remote Sens."},{"key":"24_CR12","doi-asserted-by":"publisher","first-page":"1479","DOI":"10.3390\/rs15061479","volume":"15","author":"L Gao","year":"2023","unstructured":"Gao, L., et al.: Center-ness and repulsion: constraints to improve remote sensing object detection via RepPoints. Remote Sens. 15, 1479 (2023)","journal-title":"Remote Sens."},{"key":"24_CR13","doi-asserted-by":"crossref","unstructured":"Hou, L. et al.: Shape-adaptive selection and measurement for oriented object detection. In: Proceedings of the AAAI Conference on Artificial Intelligence, pp. 923\u2013932 (2022)","DOI":"10.1609\/aaai.v36i1.19975"},{"key":"24_CR14","first-page":"1","volume":"20","author":"J Song","year":"2023","unstructured":"Song, J., et al.: Optimized point set representation for oriented object detection in remote-sensing images. IEEE Geosci. Remote Sens. Lett. 20, 1\u20135 (2023)","journal-title":"IEEE Geosci. Remote Sens. Lett."},{"key":"24_CR15","first-page":"1","volume":"60","author":"J Han","year":"2021","unstructured":"Han, J., et al.: Align deep features for oriented object detection. IEEE Trans. Geosci. Remote Sens. 60, 1\u201311 (2021)","journal-title":"IEEE Trans. Geosci. Remote Sens."},{"key":"24_CR16","first-page":"1","volume":"61","author":"C Zhang","year":"2023","unstructured":"Zhang, C., et al.: TCD: task-collaborated detector for oriented objects in remote sensing images. IEEE Trans. Geosci. Remote Sens. 61, 1\u201314 (2023)","journal-title":"IEEE Trans. Geosci. Remote Sens."},{"key":"24_CR17","doi-asserted-by":"crossref","unstructured":"Feng, C. et al.: Tood: task-aligned one-stage object detection. In: 2021 IEEE\/CVF International Conference on Computer Vision (ICCV), pp. 3490\u20133499. IEEE Computer Society (2021)","DOI":"10.1109\/ICCV48922.2021.00349"},{"key":"24_CR18","first-page":"18381","volume":"34","author":"X Yang","year":"2021","unstructured":"Yang, X., et al.: Learning high-precision bounding box for rotated object detection via Kullback-Leibler divergence. Adv. Neural. Inf. Process. Syst. 34, 18381\u201318394 (2021)","journal-title":"Adv. Neural. Inf. Process. Syst."},{"key":"24_CR19","doi-asserted-by":"crossref","unstructured":"Xie, X. et al.: Oriented r-CNN for object detection. In: Proceedings of the IEEE\/CVF International Conference on Computer Vision, pp. 3520\u20133529 (2021)","DOI":"10.1109\/ICCV48922.2021.00350"},{"key":"24_CR20","doi-asserted-by":"publisher","first-page":"1","DOI":"10.1109\/TGRS.2024.3402825","volume":"62","author":"S Zheng","year":"2024","unstructured":"Zheng, S., et al.: Oriented object detection for remote sensing images via object-wise rotation-invariant semantic representation. IEEE Trans. Geosci. Remote Sens. 62, 1\u201315 (2024). https:\/\/doi.org\/10.1109\/TGRS.2024.3402825","journal-title":"IEEE Trans. Geosci. Remote Sens."},{"key":"24_CR21","doi-asserted-by":"publisher","DOI":"10.1016\/j.imavis.2024.105397","volume":"154","author":"Z Liu","year":"2025","unstructured":"Liu, Z., et al.: Rotating-YOLO: a novel YOLO model for remote sensing rotating object detection. Image Vis. Comput. 154, 105397 (2025). https:\/\/doi.org\/10.1016\/j.imavis.2024.105397","journal-title":"Image Vis. Comput."},{"key":"24_CR22","doi-asserted-by":"publisher","unstructured":"Tang, Y. et al.: Fourier-FPN: Fourier improves multi-scale feature learning for oriented tiny object detection. In: Huang, D.-S., Zhang, C., Guo, J. (eds.) Advanced Intelligent Computing Technology and Applications, pp. 450\u2013461. Springer Nature, Singapore (2024). https:\/\/doi.org\/10.1007\/978-981-97-5609-4_35","DOI":"10.1007\/978-981-97-5609-4_35"},{"key":"24_CR23","doi-asserted-by":"crossref","unstructured":"Dai, J. et al.: Deformable convolutional networks. In: 2017 IEEE International Conference on Computer Vision (ICCV), pp. 764\u2013773 (2017)","DOI":"10.1109\/ICCV.2017.89"},{"key":"24_CR24","doi-asserted-by":"crossref","unstructured":"Ming, Q. et al.: Dynamic anchor learning for arbitrary-oriented object detection. In: Proceedings of the AAAI Conference on Artificial Intelligence, pp. 2355\u20132363 (2021)","DOI":"10.1609\/aaai.v35i3.16336"},{"key":"24_CR25","doi-asserted-by":"crossref","unstructured":"Lin, T.-Y. et al.: Focal loss for dense object detection. In: Proceedings of the IEEE International Conference on Computer Vision, pp. 2980\u20132988 (2017)","DOI":"10.1109\/ICCV.2017.324"},{"key":"24_CR26","doi-asserted-by":"crossref","unstructured":"Dai, L. et al.: AO2-DETR: arbitrary-oriented object detection transformer. IEEE Trans. Circ. Syst. Video Technol. 33, 2342\u20132356 (2022)","DOI":"10.1109\/TCSVT.2022.3222906"},{"key":"24_CR27","doi-asserted-by":"crossref","unstructured":"Han, J. et al.: ReDet: a rotation-equivariant detector for aerial object detection. In: Proceedings of the IEEE\/CVF Conference on Computer Vision and Pattern Recognition, pp. 2786\u20132795 (2021)","DOI":"10.1109\/CVPR46437.2021.00281"},{"key":"24_CR28","doi-asserted-by":"crossref","unstructured":"Pan, X. et al.: Dynamic refinement network for oriented and densely packed object detection. In: Proceedings of the IEEE\/CVF Conference on Computer Vision and Pattern Recognition, pp. 11207\u201311216 (2020)","DOI":"10.1109\/CVPR42600.2020.01122"},{"key":"24_CR29","doi-asserted-by":"publisher","first-page":"4307","DOI":"10.1109\/TGRS.2020.3010051","volume":"59","author":"J Wang","year":"2020","unstructured":"Wang, J., et al.: Learning center probability map for detecting objects in aerial images. IEEE Trans. Geosci. Remote Sens. 59, 4307\u20134323 (2020)","journal-title":"IEEE Trans. Geosci. Remote Sens."},{"key":"24_CR30","doi-asserted-by":"crossref","unstructured":"Xia, G.-S. et al.: DOTA: a large-scale dataset for object detection in aerial images. In: Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, pp. 3974\u20133983 (2018)","DOI":"10.1109\/CVPR.2018.00418"},{"key":"24_CR31","first-page":"1","volume":"60","author":"G Cheng","year":"2022","unstructured":"Cheng, G., et al.: Anchor-free oriented proposal generator for object detection. IEEE Trans. Geosci. Remote Sens.Geosci. Remote Sens. 60, 1\u201311 (2022)","journal-title":"IEEE Trans. Geosci. Remote Sens.Geosci. Remote Sens."},{"key":"24_CR32","doi-asserted-by":"crossref","unstructured":"Xu, C. et al.: Dynamic coarse-to-fine learning for oriented tiny object detection. In: Proceedings of the IEEE\/CVF Conference on Computer Vision and Pattern Recognition, pp. 7318\u20137328 (2023)","DOI":"10.1109\/CVPR52729.2023.00707"}],"container-title":["Lecture Notes in Computer Science","Advanced Intelligent Computing Technology and Applications"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/978-981-96-9794-6_24","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,9,7]],"date-time":"2025-09-07T08:25:46Z","timestamp":1757233546000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/978-981-96-9794-6_24"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2025]]},"ISBN":["9789819697939","9789819697946"],"references-count":32,"URL":"https:\/\/doi.org\/10.1007\/978-981-96-9794-6_24","relation":{},"ISSN":["0302-9743","1611-3349"],"issn-type":[{"type":"print","value":"0302-9743"},{"type":"electronic","value":"1611-3349"}],"subject":[],"published":{"date-parts":[[2025]]},"assertion":[{"value":"15 July 2025","order":1,"name":"first_online","label":"First Online","group":{"name":"ChapterHistory","label":"Chapter History"}},{"value":"The authors have no competing interests to declare that are relevant to the content of this article.","order":1,"name":"Ethics","group":{"name":"EthicsHeading","label":"Disclosure of Interests"}},{"value":"ICIC","order":1,"name":"conference_acronym","label":"Conference Acronym","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"International Conference on Intelligent Computing","order":2,"name":"conference_name","label":"Conference Name","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Ningbo","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":"2025","order":5,"name":"conference_year","label":"Conference Year","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"26 July 2025","order":7,"name":"conference_start_date","label":"Conference Start Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"29 July 2025","order":8,"name":"conference_end_date","label":"Conference End Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"21","order":9,"name":"conference_number","label":"Conference Number","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"icic2025","order":10,"name":"conference_id","label":"Conference ID","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"http:\/\/www.ic-icc.cn\/icg\/","order":11,"name":"conference_url","label":"Conference URL","group":{"name":"ConferenceInfo","label":"Conference Information"}}]}}