{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,3,8]],"date-time":"2026-03-08T01:55:43Z","timestamp":1772934943593,"version":"3.50.1"},"reference-count":33,"publisher":"Springer Science and Business Media LLC","issue":"5","license":[{"start":{"date-parts":[[2022,1,6]],"date-time":"2022-01-06T00:00:00Z","timestamp":1641427200000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springer.com\/tdm"},{"start":{"date-parts":[[2022,1,6]],"date-time":"2022-01-06T00:00:00Z","timestamp":1641427200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.springer.com\/tdm"}],"funder":[{"DOI":"10.13039\/501100004295","name":"Shandong University Science and Technology Project","doi-asserted-by":"crossref","award":["No. J17KA082"],"award-info":[{"award-number":["No. J17KA082"]}],"id":[{"id":"10.13039\/501100004295","id-type":"DOI","asserted-by":"crossref"}]},{"DOI":"10.13039\/501100004295","name":"Shandong University Science and Technology Project","doi-asserted-by":"crossref","award":["No. J16LN21"],"award-info":[{"award-number":["No. J16LN21"]}],"id":[{"id":"10.13039\/501100004295","id-type":"DOI","asserted-by":"crossref"}]},{"name":"State Natural Science Foundation of China","award":["No.61401259"],"award-info":[{"award-number":["No.61401259"]}]}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":["SIViP"],"published-print":{"date-parts":[[2022,7]]},"DOI":"10.1007\/s11760-021-02066-2","type":"journal-article","created":{"date-parts":[[2022,1,6]],"date-time":"2022-01-06T00:03:39Z","timestamp":1641427419000},"page":"1161-1168","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":14,"title":["Superpixel segmentation with squeeze-and-excitation networks"],"prefix":"10.1007","volume":"16","author":[{"given":"Jingjing","family":"Wang","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-1528-9903","authenticated-orcid":false,"given":"Zhenye","family":"Luan","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Zishu","family":"Yu","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Jinwen","family":"Ren","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Jun","family":"Gao","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Kejiang","family":"Yuan","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Huaqiang","family":"Xu","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","published-online":{"date-parts":[[2022,1,6]]},"reference":[{"key":"2066_CR1","first-page":"3871","volume":"29","author":"L Zhu","year":"2019","unstructured":"Zhu, L., Kang, X., Ming, A., Zhang, X.: Dynamic random walk for superpixel segmentation. IEEE Trans. Image Process. 29, 3871\u20133884 (2019)","journal-title":"IEEE Trans. Image Process."},{"key":"2066_CR2","doi-asserted-by":"publisher","first-page":"28","DOI":"10.1016\/j.image.2017.04.007","volume":"56","author":"NQ Soomro","year":"2017","unstructured":"Soomro, N.Q., Wang, M.: Superpixel segmentation: a benchmark. Signal Process. Image Commun. 56, 28\u201339 (2017)","journal-title":"Signal Process. Image Commun."},{"key":"2066_CR3","unstructured":"Li, Z., Chen, J.: Superpixel segmentation using linear spectral clustering. In: IEEE Conference on Computer Vision and Pattern Recognition (CVPR) (2015)"},{"key":"2066_CR4","doi-asserted-by":"crossref","unstructured":"Liu, M.Y., Tuzel, O., Ramalingam, S., Chellappa, R.: Entropy rate superpixel segmentation. In: IEEE Conference on Computer Vision and Pattern Recognition (CVPR) (2011)","DOI":"10.1109\/CVPR.2011.5995323"},{"key":"2066_CR5","doi-asserted-by":"publisher","first-page":"1687","DOI":"10.1007\/s11042-020-09691-y","volume":"80","author":"L Yu","year":"2021","unstructured":"Yu, L., Fan, G.: DrsNet: Dual-resolution semantic segmentation with rare class-oriented superpixel prior. Multimed. Tools Appl. 80, 1687\u20131706 (2021)","journal-title":"Multimed. Tools Appl."},{"issue":"5","key":"2066_CR6","doi-asserted-by":"publisher","first-page":"930","DOI":"10.3390\/rs13050930","volume":"13","author":"F Xie","year":"2021","unstructured":"Xie, F., Gao, Q., Jin, C.: Hyperspectral image classification based on superpixel pooling convolutional neural network with transfer learning. Remote Sens. 13(5), 930 (2021)","journal-title":"Remote Sens."},{"key":"2066_CR7","doi-asserted-by":"crossref","unstructured":"Shu, G., Dehghan, A., Shah, M.: Improving an object detector and extracting regions using superpixels. In: IEEE Conference on Computer Vision and Pattern Recognition (CVPR). pp. 3721\u20133727 (2013)","DOI":"10.1109\/CVPR.2013.477"},{"key":"2066_CR8","doi-asserted-by":"crossref","unstructured":"Yan, J., Yu, Y., Zhu, X., Lei, Z., Li, S.Z.: Object detection by labeling superpixels. In: IEEE Conference on Computer Vision and Pattern Recognition (CVPR). pp. 5107\u20135116 (2015)","DOI":"10.1109\/CVPR.2015.7299146"},{"issue":"3","key":"2066_CR9","doi-asserted-by":"publisher","first-page":"300","DOI":"10.1007\/s11263-008-0140-x","volume":"80","author":"S Gould","year":"2008","unstructured":"Gould, S., Rodgers, J., Cohen, D., Elidan, G., Koller, D.: Multi-class segmentation with relative location prior. Int. J. Comput. Vision 80(3), 300\u2013316 (2008)","journal-title":"Int. J. Comput. Vision"},{"key":"2066_CR10","unstructured":"Sharma, A., Tuzel, O., Liu, M.Y.: Recursive context propagation network for semantic scene labeling. In: Advances in Neural Information Processing Systems (NIPS) (2014)"},{"key":"2066_CR11","doi-asserted-by":"crossref","unstructured":"Gadde, R., Jampani, V., Kiefel, M., Kappler, D.: Superpixel convolutional networks using bilateral inceptions. In: European Conference on Computer Vision (ECCV) (2016)","DOI":"10.1007\/978-3-319-46448-0_36"},{"issue":"3","key":"2066_CR12","doi-asserted-by":"publisher","first-page":"330","DOI":"10.1007\/s11263-015-0822-0","volume":"115","author":"S He","year":"2015","unstructured":"He, S., Lau, R.W., Liu, W., Huang, Z., Yang, Q.: SuperCNN: A superpixelwise convolutional neural network for salient object detection. Int. J. Comput. Vis. (IJCV) 115(3), 330\u2013344 (2015)","journal-title":"Int. J. Comput. Vis. (IJCV)"},{"key":"2066_CR13","doi-asserted-by":"crossref","unstructured":"Perazzi, F., Krahenb uhl, P., Pritch, Y., Hornung, A.: Saliency filters: Contrast based filtering for salient region detection. In: IEEE Conference on Computer Vision and Pattern Recognition (CVPR). pp. 733\u2013740 (2012)","DOI":"10.1109\/CVPR.2012.6247743"},{"key":"2066_CR14","doi-asserted-by":"crossref","unstructured":"Yang, C., Zhang, L., Lu, H.: Saliency detection via graphbased manifold ranking. In: IEEE Conference on Computer Vision and Pattern Recognition (CVPR) (2013)","DOI":"10.1109\/CVPR.2013.407"},{"key":"2066_CR15","doi-asserted-by":"crossref","unstructured":"Zhu, W., Liang, S., Wei, Y., Sun, J.: Saliency optimization from robust background detection. In: IEEE Conference on Computer Vision and Pattern Recognition (CVPR) (2014)","DOI":"10.1109\/CVPR.2014.360"},{"key":"2066_CR16","doi-asserted-by":"publisher","first-page":"167","DOI":"10.1016\/j.imavis.2016.06.004","volume":"52","author":"Y Hu","year":"2016","unstructured":"Hu, Y., Song, R., Li, Y., Rao, P., Wang, Y.: Highly accurate optical flow estimation on superpixel tree. Image Vis. Comput. 52, 167\u2013177 (2016)","journal-title":"Image Vis. Comput."},{"key":"2066_CR17","doi-asserted-by":"crossref","unstructured":"Lu, J., Yang, H.: Patch match filter: Efficient edge-aware filtering meets randomized search for fast correspondence field estimation. In: IEEE Conference on Computer Vision and Pattern Recognition . pp. 1854\u20131861 (2013)","DOI":"10.1109\/CVPR.2013.242"},{"key":"2066_CR18","doi-asserted-by":"crossref","unstructured":"Sun, D., Liu, C., Pfister, H.: Local layering for joint motion estimation and occlusion detection. In: Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition. pp. 1098\u20131105 (2014)","DOI":"10.1109\/CVPR.2014.144"},{"key":"2066_CR19","doi-asserted-by":"crossref","unstructured":"Yamaguchi, K., McAllester, D., Urtasun, R.: Robust monocular epipolar flow estimation. In: IEEE Conference on Computer Vision and Pattern Recognition (CVPR). pp. 1862\u20131869 (2013)","DOI":"10.1109\/CVPR.2013.243"},{"key":"2066_CR20","doi-asserted-by":"crossref","unstructured":"Van den Bergh, M., Carton, D., Van Gool, L.: Depth SEEDS: Recovering incomplete depth data using superpixels. In: IEEE Workshop on Applications of Computer Vision (W ACV). pp. 363\u2013368 (2013)","DOI":"10.1109\/WACV.2013.6475041"},{"issue":"4","key":"2066_CR21","doi-asserted-by":"publisher","first-page":"1639","DOI":"10.1109\/TIP.2014.2300823","volume":"23","author":"F Yang","year":"2014","unstructured":"Yang, F., Lu, H., Yang, M.H.: Robust superpixel tracking. IEEE Trans. Image Process. 23(4), 1639\u20131651 (2014)","journal-title":"IEEE Trans. Image Process."},{"issue":"11","key":"2066_CR22","doi-asserted-by":"publisher","first-page":"2274","DOI":"10.1109\/TPAMI.2012.120","volume":"34","author":"R Achanta","year":"2012","unstructured":"Achanta, R., Shaji, A., Smith, K., Lucchi, A., Fua, P., S\u00fcsstrunk, S.: SLIC superpixels compared to state-of-the-art superpixel methods. IEEE Trans. Pattern Anal. Mach. Intell. 34(11), 2274\u20132282 (2012)","journal-title":"IEEE Trans. Pattern Anal. Mach. Intell."},{"issue":"12","key":"2066_CR23","doi-asserted-by":"publisher","first-page":"5933","DOI":"10.1109\/TIP.2016.2616302","volume":"25","author":"J Shen","year":"2016","unstructured":"Shen, J., Hao, X., Liang, Z., et al.: Real-time superpixel segmentation by DBSCAN clustering algorithm. IEEE Trans. Image Proc. 25(12), 5933\u20135942 (2016)","journal-title":"IEEE Trans. Image Proc."},{"key":"2066_CR24","unstructured":"Martin, D., Fowlkes, C., Tal, D., et al.: A database of human segmented natural images and its application to evaluating segmentation algorithms and measuring ecological statistics. In: Proceedings Eighth IEEE International Conference on Computer Vision. ICCV 2001. IEEE (2002)"},{"key":"2066_CR25","doi-asserted-by":"crossref","unstructured":"Jampani, V.A., Sun, D., Liu, M.-Y., Yang, M.-H., Kautz, J.: Superpixel sampling networks. In ECCV, pp. 363\u2013380 (2018)","DOI":"10.1007\/978-3-030-01234-2_22"},{"key":"2066_CR26","doi-asserted-by":"crossref","unstructured":"Hu, J., Shen, L., Albanie, S.: Squeeze-and-excitation networks. In: Conference on Computer Vision and Pattern Recognition (CVPR) (2017)","DOI":"10.1109\/CVPR.2018.00745"},{"issue":"5","key":"2066_CR27","doi-asserted-by":"publisher","first-page":"898","DOI":"10.1109\/TPAMI.2010.161","volume":"33","author":"P Arbelaez","year":"2010","unstructured":"Arbelaez, P., Maire, M., Fowlkes, C., Malik, J.: Contour detection and hierarchical image segmentation. IEEE Trans. Pattern Anal. Mach. Intell. 33(5), 898\u2013916 (2010)","journal-title":"IEEE Trans. Pattern Anal. Mach. Intell."},{"key":"2066_CR28","doi-asserted-by":"crossref","unstructured":"Kohli, P., Silberman, N., Hoiem, D., Fergus, R.: Indoor segmentation and support inference from rgbd images. In ECCV, (2012)","DOI":"10.1007\/978-3-642-33715-4_54"},{"key":"2066_CR29","doi-asserted-by":"crossref","unstructured":"Yang, F., Sun, Q, Jin, H., et al.: Superpixel segmentation with fully convolutional networks. IEEE, CVPR (2020).","DOI":"10.1109\/CVPR42600.2020.01398"},{"issue":"11","key":"2066_CR30","doi-asserted-by":"publisher","first-page":"2274","DOI":"10.1109\/TPAMI.2012.120","volume":"34","author":"R Achanta","year":"2012","unstructured":"Achanta, R., Shaji, A., Smith, K., et al.: SLIC superpixels compared to state-of-the-art superpixel methods. IEEE Trans. Pattern Anal. Mach. Intell. 34(11), 2274\u20132282 (2012)","journal-title":"IEEE Trans. Pattern Anal. Mach. Intell."},{"key":"2066_CR31","doi-asserted-by":"crossref","unstructured":"Tu, W.-C., Liu, M.-Y., Jampani, V.A., Sun, D., Chien, S.-Y., Yang, M.-H., Kautz, J.: Learning superpixels with segmentation-aware affinity loss. In CVPR, pp. 568\u2013576 (2018)","DOI":"10.1109\/CVPR.2018.00066"},{"key":"2066_CR32","doi-asserted-by":"publisher","first-page":"1","DOI":"10.1016\/j.cviu.2017.03.007","volume":"166","author":"D Stutz","year":"2018","unstructured":"Stutz, D., Hermans, A., Leibe, B.: Superpixels: An evaluation of the state-of-the-art. Comput. Vis. Image Underst. 166, 1\u201327 (2018)","journal-title":"Comput. Vis. Image Underst."},{"key":"2066_CR33","doi-asserted-by":"crossref","unstructured":"Achanta, R., Susstrunk, S.: Superpixels and polygons using simple non-iterative clustering. In: IEEE Conference on Computer Vision & Pattern Recognition. IEEE, (2017).","DOI":"10.1109\/CVPR.2017.520"}],"container-title":["Signal, Image and Video Processing"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/s11760-021-02066-2.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/article\/10.1007\/s11760-021-02066-2\/fulltext.html","content-type":"text\/html","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/s11760-021-02066-2.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2022,5,19]],"date-time":"2022-05-19T06:17:09Z","timestamp":1652941029000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/s11760-021-02066-2"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2022,1,6]]},"references-count":33,"journal-issue":{"issue":"5","published-print":{"date-parts":[[2022,7]]}},"alternative-id":["2066"],"URL":"https:\/\/doi.org\/10.1007\/s11760-021-02066-2","relation":{},"ISSN":["1863-1703","1863-1711"],"issn-type":[{"value":"1863-1703","type":"print"},{"value":"1863-1711","type":"electronic"}],"subject":[],"published":{"date-parts":[[2022,1,6]]},"assertion":[{"value":"22 March 2021","order":1,"name":"received","label":"Received","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"6 July 2021","order":2,"name":"revised","label":"Revised","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"24 October 2021","order":3,"name":"accepted","label":"Accepted","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"6 January 2022","order":4,"name":"first_online","label":"First Online","group":{"name":"ArticleHistory","label":"Article History"}}]}}