{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,2,26]],"date-time":"2026-02-26T15:31:37Z","timestamp":1772119897026,"version":"3.50.1"},"reference-count":38,"publisher":"Springer Science and Business Media LLC","issue":"2","license":[{"start":{"date-parts":[[2023,3,11]],"date-time":"2023-03-11T00:00:00Z","timestamp":1678492800000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"},{"start":{"date-parts":[[2023,3,11]],"date-time":"2023-03-11T00:00:00Z","timestamp":1678492800000},"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":["J Real-Time Image Proc"],"published-print":{"date-parts":[[2023,4]]},"DOI":"10.1007\/s11554-023-01291-x","type":"journal-article","created":{"date-parts":[[2023,3,10]],"date-time":"2023-03-10T23:35:08Z","timestamp":1678491308000},"update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":4,"title":["SiamLight: lightweight networks for object tracking via attention mechanisms and pixel-level cross-correlation"],"prefix":"10.1007","volume":"20","author":[{"given":"Yu-e","family":"Lin","sequence":"first","affiliation":[]},{"given":"Mengfan","family":"Li","sequence":"additional","affiliation":[]},{"given":"Xingzhu","family":"Liang","sequence":"additional","affiliation":[]},{"given":"Chenxing","family":"Xia","sequence":"additional","affiliation":[]}],"member":"297","published-online":{"date-parts":[[2023,3,11]]},"reference":[{"key":"1291_CR1","doi-asserted-by":"publisher","unstructured":"Bertinetto, L., Valmadre, J., Henriques, J.F., Vedaldi, A., Torr, P.H.: Fully-convolutional siamese networks for object tracking. In: European Conference on Computer Vision, pp. 850\u2013865 (2016). https:\/\/doi.org\/10.1007\/978-3-319-48881-3_56. Springer","DOI":"10.1007\/978-3-319-48881-3_56"},{"key":"1291_CR2","doi-asserted-by":"crossref","unstructured":"Chen, Z., Zhong, B., Li, G., Zhang, S., Ji, R.: Siamese box adaptive network for visual tracking. In: Proceedings of the IEEE\/CVF Conference on Computer Vision and Pattern Recognition, pp. 6668\u20136677 (2020)","DOI":"10.1109\/CVPR42600.2020.00670"},{"key":"1291_CR3","doi-asserted-by":"crossref","unstructured":"Yan, B., Peng, H., Wu, K., Wang, D., Fu, J., Lu, H.: Lighttrack: Finding lightweight neural networks for object tracking via one-shot architecture search. In: Proceedings of the IEEE\/CVF Conference on Computer Vision and Pattern Recognition, pp. 15180\u201315189 (2021)","DOI":"10.1109\/CVPR46437.2021.01493"},{"key":"1291_CR4","doi-asserted-by":"publisher","unstructured":"Howard, A., Sandler, M., Chen, B., Wang, W., Chen, L.-C., Tan, M., Chu, G., Vasudevan, V., Zhu, Y., Pang, R., Adam, H., Le, Q.: Searching for mobilenetv3. In: 2019 IEEE\/CVF International Conference on Computer Vision (ICCV), pp. 1314\u20131324 (2019). https:\/\/doi.org\/10.1109\/ICCV.2019.00140","DOI":"10.1109\/ICCV.2019.00140"},{"key":"1291_CR5","doi-asserted-by":"crossref","unstructured":"Zhang, X., Zhou, X., Lin, M., Sun, J.: Shufflenet: An extremely efficient convolutional neural network for mobile devices. In: Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, pp. 6848\u20136856 (2018)","DOI":"10.1109\/CVPR.2018.00716"},{"key":"1291_CR6","doi-asserted-by":"crossref","unstructured":"Li, B., Wu, W., Wang, Q., Zhang, F., Xing, J., Yan, J.: Siamrpn++: Evolution of siamese visual tracking with very deep networks. In: Proceedings of the IEEE\/CVF Conference on Computer Vision and Pattern Recognition, pp. 4282\u20134291 (2019)","DOI":"10.1109\/CVPR.2019.00441"},{"key":"1291_CR7","doi-asserted-by":"crossref","unstructured":"Yan, B., Zhang, X., Wang, D., Lu, H., Yang, X.: Alpha-refine: Boosting tracking performance by precise bounding box estimation. In: Proceedings of the IEEE\/CVF Conference on Computer Vision and Pattern Recognition, pp. 5289\u20135298 (2021)","DOI":"10.1109\/CVPR46437.2021.00525"},{"key":"1291_CR8","doi-asserted-by":"publisher","unstructured":"Liao, B., Wang, C., Wang, Y., Wang, Y., Yin, J.: Pg-net: Pixel to global matching network for visual tracking. In: European Conference on Computer Vision, pp. 429\u2013444 (2020). https:\/\/doi.org\/10.1007\/978-3-030-58542-6_26. Springer","DOI":"10.1007\/978-3-030-58542-6_26"},{"key":"1291_CR9","doi-asserted-by":"publisher","unstructured":"Woo, S., Park, J., Lee, J.-Y., Kweon, I.S.: Cbam: Convolutional block attention module. In: Proceedings of the European Conference on Computer Vision (ECCV), pp. 3\u201319 (2018). https:\/\/doi.org\/10.1007\/978-3-030-01234-2_1. Springer","DOI":"10.1007\/978-3-030-01234-2_1"},{"key":"1291_CR10","doi-asserted-by":"publisher","unstructured":"Tao, R., Gavves, E., Smeulders, A.W.: Siamese instance search for tracking. In: Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, pp. 1420\u20131429 (2016). https:\/\/doi.org\/10.1109\/CVPR.2016.158","DOI":"10.1109\/CVPR.2016.158"},{"key":"1291_CR11","doi-asserted-by":"crossref","unstructured":"Li, B., Yan, J., Wu, W., Zhu, Z., Hu, X.: High performance visual tracking with siamese region proposal network. In: Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, pp. 8971\u20138980 (2018)","DOI":"10.1109\/CVPR.2018.00935"},{"key":"1291_CR12","doi-asserted-by":"publisher","unstructured":"Zhang, Z., Peng, H., Fu, J., Li, B., Hu, W.: Ocean: Object-aware anchor-free tracking. In: European Conference on Computer Vision, pp. 771\u2013787 (2020). https:\/\/doi.org\/10.1007\/978-3-030-58589-1_46. Springer","DOI":"10.1007\/978-3-030-58589-1_46"},{"issue":"4","key":"1291_CR13","doi-asserted-by":"publisher","first-page":"640","DOI":"10.1109\/TPAMI.2016.2572683","volume":"39","author":"E Shelhamer","year":"2017","unstructured":"Shelhamer, E., Long, J., Darrell, T.: Fully convolutional networks for semantic segmentation. IEEE Trans. Pattern Anal. Mach. Intell. 39(4), 640\u2013651 (2017). https:\/\/doi.org\/10.1109\/TPAMI.2016.2572683","journal-title":"IEEE Trans. Pattern Anal. Mach. Intell."},{"key":"1291_CR14","doi-asserted-by":"crossref","unstructured":"Fu, Z., Liu, Q., Fu, Z., Wang, Y.: Stmtrack: Template-free visual tracking with space-time memory networks. In: Proceedings of the IEEE\/CVF Conference on Computer Vision and Pattern Recognition, pp. 13774\u201313783 (2021)","DOI":"10.1109\/CVPR46437.2021.01356"},{"issue":"2","key":"1291_CR15","doi-asserted-by":"publisher","first-page":"550","DOI":"10.1007\/s11263-021-01559-4","volume":"130","author":"Y Cui","year":"2022","unstructured":"Cui, Y., Guo, D., Shao, Y., Wang, Z., Shen, C., Zhang, L., Chen, S.: Joint classification and regression for visual tracking with fully convolutional siamese networks. Int. J. Comput. Vision 130(2), 550\u2013566 (2022). https:\/\/doi.org\/10.1007\/s11263-021-01559-4","journal-title":"Int. J. Comput. Vision"},{"key":"1291_CR16","doi-asserted-by":"crossref","unstructured":"Xie, F., Wang, C., Wang, G., Cao, Y., Yang, W., Zeng, W.: Correlation-aware deep tracking. In: Proceedings of the IEEE\/CVF Conference on Computer Vision and Pattern Recognition, pp. 8751\u20138760 (2022)","DOI":"10.1109\/CVPR52688.2022.00855"},{"key":"1291_CR17","doi-asserted-by":"crossref","unstructured":"Yu, Y., Xiong, Y., Huang, W., Scott, M.R.: Deformable siamese attention networks for visual object tracking. In: Proceedings of the IEEE\/CVF Conference on Computer Vision and Pattern Recognition, pp. 6728\u20136737 (2020)","DOI":"10.1109\/CVPR42600.2020.00676"},{"key":"1291_CR18","doi-asserted-by":"crossref","unstructured":"Gao, J., Zhang, T., Xu, C.: Graph convolutional tracking. In: Proceedings of the IEEE\/CVF Conference on Computer Vision and Pattern Recognition, pp. 4649\u20134659 (2019)","DOI":"10.1109\/CVPR.2019.00478"},{"key":"1291_CR19","unstructured":"Huang, H., Yu, X., et al.: Tapl: Dynamic part-based visual tracking via attention-guided part localization. arXiv preprint arXiv:2110.13027 (2021)"},{"key":"1291_CR20","doi-asserted-by":"crossref","unstructured":"Fan, H., Lin, L., Yang, F., Chu, P., Deng, G., Yu, S., Bai, H., Xu, Y., Liao, C., Ling, H.: Lasot: A high-quality benchmark for large-scale single object tracking. In: Proceedings of the IEEE\/CVF Conference on Computer Vision and Pattern Recognition, pp. 5374\u20135383 (2019)","DOI":"10.1109\/CVPR.2019.00552"},{"key":"1291_CR21","doi-asserted-by":"publisher","unstructured":"Kristan, M., Leonardis, A., Matas, J., Felsberg, M., Pflugfelder, R., Cehovin\u00a0Zajc, L., Vojir, T., Bhat, G., Lukezic, A., Eldesokey, A., et al: The sixth visual object tracking vot2018 challenge results. In: Proceedings of the European Conference on Computer Vision (ECCV) Workshops, pp. 3\u201353 (2018). https:\/\/doi.org\/10.1007\/978-3-030-11009-3_1","DOI":"10.1007\/978-3-030-11009-3_1"},{"key":"1291_CR22","doi-asserted-by":"publisher","unstructured":"Kristan, M., Matas, J., Leonardis, A., Felsberg, M., Pflugfelder, R., Kamarainen, J.-K., Cehovin\u00a0Zajc, L., Drbohlav, O., Lukezic, A., Berg, A., et al: The seventh visual object tracking vot2019 challenge results. In: Proceedings of the IEEE\/CVF International Conference on Computer Vision Workshops, pp. 2206\u20132241 (2019). https:\/\/doi.org\/10.1109\/ICCVW.2019.00276","DOI":"10.1109\/ICCVW.2019.00276"},{"key":"1291_CR23","doi-asserted-by":"crossref","unstructured":"Mueller, M., Smith, N., Ghanem, B.: A benchmark and simulator for uav tracking. In: European Conference on Computer Vision, pp. 445\u2013461 (2016). Springer","DOI":"10.1007\/978-3-319-46448-0_27"},{"issue":"9","key":"1291_CR24","doi-asserted-by":"publisher","first-page":"1834","DOI":"10.1109\/TPAMI.2014.2388226","volume":"37","author":"Y Wu","year":"2015","unstructured":"Wu, Y., Lim, J., Yang, M.: Visual tracking benchmark. IEEE Trans. Pattern Anal. Mach. Intell. 37(9), 1834\u20131848 (2015)","journal-title":"IEEE Trans. Pattern Anal. Mach. Intell."},{"key":"1291_CR25","doi-asserted-by":"crossref","unstructured":"Danelljan, M., Bhat, G., Khan, F.S., Felsberg, M.: Atom: Accurate tracking by overlap maximization. In: Proceedings of the IEEE\/CVF Conference on Computer Vision and Pattern Recognition, pp. 4660\u20134669 (2019)","DOI":"10.1109\/CVPR.2019.00479"},{"key":"1291_CR26","doi-asserted-by":"publisher","unstructured":"Tang, F., Ling, Q.: Ranking-based siamese visual tracking. In: 2022 IEEE\/CVF Conference on Computer Vision and Pattern Recognition (CVPR), pp. 8731\u20138740 (2022). https:\/\/doi.org\/10.1109\/CVPR52688.2022.00854","DOI":"10.1109\/CVPR52688.2022.00854"},{"key":"1291_CR27","doi-asserted-by":"crossref","unstructured":"Xu, Y., Wang, Z., Li, Z., Yuan, Y., Yu, G.: Siamfc++: Towards robust and accurate visual tracking with target estimation guidelines. In: Proceedings of the AAAI Conference on Artificial Intelligence, vol. 34, pp. 12549\u201312556 (2020)","DOI":"10.1609\/aaai.v34i07.6944"},{"issue":"3","key":"1291_CR28","doi-asserted-by":"publisher","first-page":"211","DOI":"10.1007\/s11263-015-0816-y","volume":"115","author":"O Russakovsky","year":"2015","unstructured":"Russakovsky, O., Deng, J., Su, H., Krause, J., Satheesh, S., Ma, S., Huang, Z., Karpathy, A., Khosla, A., Bernstein, M., et al.: Imagenet large scale visual recognition challenge. Int. J. Comput. Vision 115(3), 211\u2013252 (2015)","journal-title":"Int. J. Comput. Vision"},{"key":"1291_CR29","doi-asserted-by":"crossref","unstructured":"Lin, T.-Y., Maire, M., Belongie, S., Hays, J., Perona, P., Ramanan, D., Doll\u00e1r, P., Zitnick, C.L.: Microsoft coco: Common objects in context. In: European Conference on Computer Vision, pp. 740\u2013755 (2014)","DOI":"10.1007\/978-3-319-10602-1_48"},{"issue":"5","key":"1291_CR30","doi-asserted-by":"publisher","first-page":"1562","DOI":"10.1109\/TPAMI.2019.2957464","volume":"43","author":"L Huang","year":"2019","unstructured":"Huang, L., Zhao, X., Huang, K.: Got-10k: A large high-diversity benchmark for generic object tracking in the wild. IEEE Trans. Pattern Anal. Mach. Intell. 43(5), 1562\u20131577 (2019). https:\/\/doi.org\/10.1109\/TPAMI.2019.2957464","journal-title":"IEEE Trans. Pattern Anal. Mach. Intell."},{"key":"1291_CR31","doi-asserted-by":"crossref","unstructured":"Danelljan, M., Bhat, G., Shahbaz\u00a0Khan, F., Felsberg, M.: Eco: Efficient convolution operators for tracking. In: Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, pp. 6638\u20136646 (2017)","DOI":"10.1109\/CVPR.2017.733"},{"key":"1291_CR32","doi-asserted-by":"crossref","unstructured":"Zhu, X.F., Wu, X.J., Xu, T., Feng, Z., Kittler, J.: Robust visual object tracking via adaptive attribute-aware discriminative correlation filters. IEEE Transactions on Multimedia pp. 1\u20131 (2021)","DOI":"10.1109\/TMM.2021.3050073"},{"issue":"11","key":"1291_CR33","doi-asserted-by":"publisher","first-page":"5596","DOI":"10.1109\/TIP.2019.2919201","volume":"28","author":"T Xu","year":"2019","unstructured":"Xu, T., Feng, Z.-H., Wu, X.-J., Kittler, J.: Learning adaptive discriminative correlation filters via temporal consistency preserving spatial feature selection for robust visual object tracking. IEEE Trans. Image Process. 28(11), 5596\u20135609 (2019)","journal-title":"IEEE Trans. Image Process."},{"key":"1291_CR34","doi-asserted-by":"crossref","unstructured":"Wang, Q., Zhang, L., Bertinetto, L., Hu, W., Torr, P.H.: Fast online object tracking and segmentation: A unifying approach. In: Proceedings of the IEEE\/CVF Conference on Computer Vision and Pattern Recognition, pp. 1328\u20131338 (2019)","DOI":"10.1109\/CVPR.2019.00142"},{"key":"1291_CR35","first-page":"1","volume":"2019","author":"AS Tripathi","year":"2019","unstructured":"Tripathi, A.S., Danelljan, M., Van Gool, L., Timofte, R.: Tracking the known and the unknown by leveraging semantic information. Proceedings BMVC 2019, 1\u201314 (2019)","journal-title":"Proceedings BMVC"},{"issue":"22","key":"1291_CR36","doi-asserted-by":"publisher","first-page":"4075","DOI":"10.1093\/bioinformatics\/btab411","volume":"37","author":"W Ding","year":"2021","unstructured":"Ding, W., Xu, Q., Liu, S., Wang, T., Shao, B., Gong, H., Liu, T.-Y.: Samf: a self-adaptive protein modeling framework. Bioinformatics 37(22), 4075\u20134082 (2021)","journal-title":"Bioinformatics"},{"key":"1291_CR37","doi-asserted-by":"crossref","unstructured":"Zhang, Z., Peng, H.: Deeper and wider siamese networks for real-time visual tracking. In: Proceedings of the IEEE\/CVF Conference on Computer Vision and Pattern Recognition (CVPR) (2019)","DOI":"10.1109\/CVPR.2019.00472"},{"key":"1291_CR38","unstructured":"Fan, J., Song, H., Zhang, K., Yang, K., Liu, Q.: Feature alignment and aggregation siamese networks for fast visual tracking. IEEE Transactions on Circuits and Systems for Video Technology pp. 1\u20131 (2020)"}],"container-title":["Journal of Real-Time Image Processing"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/s11554-023-01291-x.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/article\/10.1007\/s11554-023-01291-x\/fulltext.html","content-type":"text\/html","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/s11554-023-01291-x.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2023,4,13]],"date-time":"2023-04-13T15:21:17Z","timestamp":1681399277000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/s11554-023-01291-x"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2023,3,11]]},"references-count":38,"journal-issue":{"issue":"2","published-print":{"date-parts":[[2023,4]]}},"alternative-id":["1291"],"URL":"https:\/\/doi.org\/10.1007\/s11554-023-01291-x","relation":{"has-preprint":[{"id-type":"doi","id":"10.21203\/rs.3.rs-2201616\/v1","asserted-by":"object"}]},"ISSN":["1861-8200","1861-8219"],"issn-type":[{"value":"1861-8200","type":"print"},{"value":"1861-8219","type":"electronic"}],"subject":[],"published":{"date-parts":[[2023,3,11]]},"assertion":[{"value":"25 October 2022","order":1,"name":"received","label":"Received","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"28 February 2023","order":2,"name":"accepted","label":"Accepted","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"11 March 2023","order":3,"name":"first_online","label":"First Online","group":{"name":"ArticleHistory","label":"Article History"}}],"article-number":"31"}}