{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,9,16]],"date-time":"2025-09-16T16:47:25Z","timestamp":1758041245075,"version":"3.44.0"},"publisher-location":"Cham","reference-count":21,"publisher":"Springer Nature Switzerland","isbn-type":[{"type":"print","value":"9783032045577"},{"type":"electronic","value":"9783032045584"}],"license":[{"start":{"date-parts":[[2025,9,12]],"date-time":"2025-09-12T00:00:00Z","timestamp":1757635200000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"},{"start":{"date-parts":[[2025,9,12]],"date-time":"2025-09-12T00:00:00Z","timestamp":1757635200000},"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\/978-3-032-04558-4_26","type":"book-chapter","created":{"date-parts":[[2025,9,11]],"date-time":"2025-09-11T11:16:54Z","timestamp":1757589414000},"page":"323-335","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":0,"title":["GLFMamba-U: Global-Local Fused Mamba-Unet"],"prefix":"10.1007","author":[{"given":"Ziniu","family":"Liu","sequence":"first","affiliation":[]},{"given":"Fengxia","family":"Han","sequence":"additional","affiliation":[]},{"given":"Xi","family":"Zhang","sequence":"additional","affiliation":[]},{"given":"Chuan","family":"Liu","sequence":"additional","affiliation":[]},{"given":"Daqiang","family":"Zhang","sequence":"additional","affiliation":[]},{"given":"Mingqing","family":"Liu","sequence":"additional","affiliation":[]},{"given":"Hao","family":"Deng","sequence":"additional","affiliation":[]},{"given":"Shengjie","family":"Zhao","sequence":"additional","affiliation":[]}],"member":"297","published-online":{"date-parts":[[2025,9,12]]},"reference":[{"key":"26_CR1","unstructured":"Krizhevsky, A., Sutskever, I., Hinton, G.E.: ImageNet classification with deep convolutional neural networks. In: Advances in Neural Information Processing Systems, vol. 25 (2012)"},{"key":"26_CR2","unstructured":"Vaswani, A.: Attention is all you need. In: Advances in Neural Information Processing Systems (2017)"},{"key":"26_CR3","unstructured":"Gu, A., Dao, T.: Mamba: linear-time sequence modeling with selective state spaces. arXiv preprint arXiv:2312.00752 (2023)"},{"key":"26_CR4","unstructured":"Liu, Y., et al.: VMamba: visual state space model. In: Advances in Neural Information Processing Systems, vol. 37, pp. 103031\u2013103063 (2024)"},{"key":"26_CR5","doi-asserted-by":"crossref","unstructured":"Chen, K., Chen, B., Liu, C., Li, W., Zou, Z., Shi, Z.: RSMamba: remote sensing image classification with state space model. IEEE Geosci. Remote Sens. Lett. (2024)","DOI":"10.1109\/LGRS.2024.3407111"},{"key":"26_CR6","doi-asserted-by":"crossref","unstructured":"Ma, X., Zhang, X., Pun, M.-O.: RS 3 mamba: visual state space model for remote sensing image semantic segmentation. IEEE Geosci. Remote Sens. Lett. (2024)","DOI":"10.1109\/LGRS.2024.3414293"},{"key":"26_CR7","doi-asserted-by":"crossref","unstructured":"Zhu, E., Chen, Z., Wang, D., Shi, H., Liu, X., Wang, L.: UNetMamba: an efficient UNet-like mamba for semantic segmentation of high-resolution remote sensing images. IEEE Geosci. Remote Sens. Lett. 22(6001205) (2025)","DOI":"10.1109\/LGRS.2024.3505193"},{"key":"26_CR8","unstructured":"Zhang, H., Chen, K., Liu, C., Chen, H., Zou, Z., Shi, Z.: CDMamba: remote sensing image change detection with mamba. arXiv preprint arXiv:2406.04207 (2024)"},{"key":"26_CR9","doi-asserted-by":"crossref","unstructured":"Wang, L., et al.: UNetFormer: A UNet-like transformer for efficient semantic segmentation of remote sensing urban scene imagery. ISPRS J. Photogramm. Remote Sens. 190 (2022)","DOI":"10.1016\/j.isprsjprs.2022.06.008"},{"key":"26_CR10","unstructured":"Zhang, Q., Yang, Y.-B.: ResT: an efficient transformer for visual recognition. In: Advances in Neural Information Processing Systems, vol. 34 (2021)"},{"key":"26_CR11","doi-asserted-by":"crossref","unstructured":"Hu, J., Shen, L., Sun, G.: Squeeze-and-excitation networks. In: Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR). IEEE, Salt Lake City (2018)","DOI":"10.1109\/CVPR.2018.00745"},{"key":"26_CR12","series-title":"Lecture Notes in Computer Science","doi-asserted-by":"publisher","first-page":"3","DOI":"10.1007\/978-3-030-01234-2_1","volume-title":"Computer Vision \u2013 ECCV 2018","author":"S Woo","year":"2018","unstructured":"Woo, S., Park, J., Lee, J.-Y., Kweon, I.S.: CBAM: convolutional block attention module. In: Ferrari, V., Hebert, M., Sminchisescu, C., Weiss, Y. (eds.) ECCV 2018. LNCS, vol. 11211, pp. 3\u201319. Springer, Cham (2018). https:\/\/doi.org\/10.1007\/978-3-030-01234-2_1"},{"key":"26_CR13","doi-asserted-by":"crossref","unstructured":"Sandler, M., Howard, A., Zhu, M., Zhmoginov, A., Chen, L.-C.: MobileNetv2: inverted residuals and linear bottlenecks. In: Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR). IEEE, Salt Lake City (2018)","DOI":"10.1109\/CVPR.2018.00474"},{"key":"26_CR14","unstructured":"Wang, J., Zheng, Z., Ma, A., Lu, X., Zhong, Y.: LoveDA: a remote sensing land-cover dataset for domain adaptive semantic segmentation. In: Neural Information Processing Systems Track on Datasets and Benchmarks (2021)"},{"key":"26_CR15","doi-asserted-by":"crossref","unstructured":"Liu, Y., Chen, H., Shen, C., He, T., Jin, L., Wang, L.: ABCNet: real-time scene text spotting with adaptive bezier-curve network. In: Proceedings of the IEEE\/CVF Conference on Computer Vision and Pattern Recognition (CVPR). IEEE, Seattle (2020)","DOI":"10.1109\/CVPR42600.2020.00983"},{"key":"26_CR16","doi-asserted-by":"crossref","unstructured":"Li, R., et al.: Multiattention network for semantic segmentation of fine-resolution remote sensing images. IEEE Trans. Geosci. Remote Sens. 60 (2021)","DOI":"10.1109\/TGRS.2021.3093977"},{"key":"26_CR17","doi-asserted-by":"crossref","unstructured":"Wang, L., Li, R., Duan, C., Zhang, C., Meng, X., Fang, S.: A novel transformer based semantic segmentation scheme for fine-resolution remote sensing images. IEEE Geosci. Remote Sens. Lett. 19 (2022)","DOI":"10.1109\/LGRS.2022.3143368"},{"key":"26_CR18","unstructured":"Loshchilov, I.: Decoupled weight decay regularization. arXiv preprint arXiv:1711.05101 (2017)"},{"key":"26_CR19","unstructured":"Ioffe, S.: Batch normalization: accelerating deep network training by reducing internal covariate shift. arXiv preprint arXiv:1502.03167 (2015)"},{"key":"26_CR20","doi-asserted-by":"publisher","first-page":"1","DOI":"10.1109\/TGRS.2024.3494868","volume":"62","author":"W Lu","year":"2024","unstructured":"Lu, W., Chen, S.-B., Shu, Q.-L., Tang, J., Luo, B.: DecoupleNet: a lightweight backbone network with efficient feature decoupling for remote sensing visual tasks. IEEE Trans. Geosci. Remote Sens. 62, 1\u201313 (2024)","journal-title":"IEEE Trans. Geosci. Remote Sens."},{"key":"26_CR21","doi-asserted-by":"publisher","first-page":"265","DOI":"10.1016\/j.isprsjprs.2024.01.011","volume":"209","author":"J Wang","year":"2024","unstructured":"Wang, J., Zhong, Y., Ma, A., Zheng, Z., Wan, Y., Zhang, L.: LoveNAS: towards multi-scene land-cover mapping via hierarchical searching adaptive network. ISPRS J. Photogramm. Remote. Sens. 209, 265\u2013278 (2024)","journal-title":"ISPRS J. Photogramm. Remote. Sens."}],"container-title":["Lecture Notes in Computer Science","Artificial Neural Networks and Machine Learning \u2013 ICANN 2025"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-032-04558-4_26","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,9,11]],"date-time":"2025-09-11T11:17:03Z","timestamp":1757589423000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/978-3-032-04558-4_26"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2025,9,12]]},"ISBN":["9783032045577","9783032045584"],"references-count":21,"URL":"https:\/\/doi.org\/10.1007\/978-3-032-04558-4_26","relation":{},"ISSN":["0302-9743","1611-3349"],"issn-type":[{"type":"print","value":"0302-9743"},{"type":"electronic","value":"1611-3349"}],"subject":[],"published":{"date-parts":[[2025,9,12]]},"assertion":[{"value":"12 September 2025","order":1,"name":"first_online","label":"First Online","group":{"name":"ChapterHistory","label":"Chapter History"}},{"value":"ICANN","order":1,"name":"conference_acronym","label":"Conference Acronym","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"International Conference on Artificial Neural Networks","order":2,"name":"conference_name","label":"Conference Name","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Kaunas","order":3,"name":"conference_city","label":"Conference City","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Lithuania","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":"9 September 2025","order":7,"name":"conference_start_date","label":"Conference Start Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"12 September 2025","order":8,"name":"conference_end_date","label":"Conference End Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"34","order":9,"name":"conference_number","label":"Conference Number","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"icann2025","order":10,"name":"conference_id","label":"Conference ID","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"https:\/\/e-nns.org\/icann2025\/","order":11,"name":"conference_url","label":"Conference URL","group":{"name":"ConferenceInfo","label":"Conference Information"}}]}}