{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,6,9]],"date-time":"2026-06-09T14:50:56Z","timestamp":1781016656724,"version":"3.54.1"},"reference-count":64,"publisher":"Institute of Electrical and Electronics Engineers (IEEE)","license":[{"start":{"date-parts":[[2025,1,1]],"date-time":"2025-01-01T00:00:00Z","timestamp":1735689600000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/ieeexplore.ieee.org\/Xplorehelp\/downloads\/license-information\/IEEE.html"},{"start":{"date-parts":[[2025,1,1]],"date-time":"2025-01-01T00:00:00Z","timestamp":1735689600000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2025,1,1]],"date-time":"2025-01-01T00:00:00Z","timestamp":1735689600000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IEEE Trans. Instrum. Meas."],"published-print":{"date-parts":[[2025]]},"DOI":"10.1109\/tim.2024.3522426","type":"journal-article","created":{"date-parts":[[2024,12,26]],"date-time":"2024-12-26T19:08:17Z","timestamp":1735240097000},"page":"1-8","source":"Crossref","is-referenced-by-count":7,"title":["Visual State Space Model for Image Super-Resolution"],"prefix":"10.1109","volume":"74","author":[{"ORCID":"https:\/\/orcid.org\/0009-0003-2818-5895","authenticated-orcid":false,"given":"Jinhang","family":"Zhang","sequence":"first","affiliation":[{"name":"Department of Missile Engineering, Army Engineering University of PLA, Shijiazhuang, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0009-0002-2340-0106","authenticated-orcid":false,"given":"Min","family":"Gao","sequence":"additional","affiliation":[{"name":"Department of Missile Engineering, Army Engineering University of PLA, Shijiazhuang, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0009-0008-3329-4646","authenticated-orcid":false,"given":"Wenzhao","family":"Li","sequence":"additional","affiliation":[{"name":"Department of Missile Engineering, Army Engineering University of PLA, Shijiazhuang, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0009-0003-2098-7332","authenticated-orcid":false,"given":"Dan","family":"Fang","sequence":"additional","affiliation":[{"name":"Department of Missile Engineering, Army Engineering University of PLA, Shijiazhuang, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0009-0008-0644-4127","authenticated-orcid":false,"given":"Chaowang","family":"Li","sequence":"additional","affiliation":[{"name":"Department of Ammunition Engineering, Army Engineering University of PLA, Shijiazhuang, China"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"263","reference":[{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1038\/s41592-021-01080-z"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2017.211"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1038\/s41592-020-01048-5"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-319-46475-6_25"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2017.618"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2017.19"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2016.181"},{"key":"ref8","article-title":"An image is worth 16\u00d716 words: Trans-formers for image recognition at scale","author":"Dosovitskiy","year":"2021","journal-title":"arXiv:2010.11929"},{"key":"ref9","article-title":"You only look at one sequence: Rethinking transformer in vision through object detection","author":"Fang","year":"2021","journal-title":"arXiv:2106.00666"},{"key":"ref10","article-title":"BLIP: Bootstrapping language-image pre-training for unified vision-language under-standing and generation","author":"Li","year":"2022","journal-title":"arXiv:2201.12086"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV48922.2021.00717"},{"key":"ref12","article-title":"BLIP-2: Bootstrapping language-image pre-training with frozen image encoders and large language models","author":"Li","year":"2023","journal-title":"arXiv:2301.12597"},{"key":"ref13","article-title":"Vision mamba: Efficient visual representation learning with bidirectional state space model","author":"Zhu","year":"2024","journal-title":"arXiv:2401.09417"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1145\/3530811"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1109\/iccv48922.2021.00986"},{"key":"ref16","volume-title":"Mamba: Linear-Time Sequence Modeling With Selective State Spaces","author":"Gu","year":"2024"},{"key":"ref17","article-title":"Visual mamba: A survey and new outlooks","author":"Xu","year":"2024","journal-title":"arXiv:2404.18861"},{"key":"ref18","article-title":"HiPPO: Recurrent memory with optimal polynomial projections","author":"Gu","year":"2020","journal-title":"arXiv:2008.07669"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-031-72649-1_13"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1109\/CVPRW63382.2024.00618"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1109\/cvpr.2017.243"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-319-10593-2_13"},{"key":"ref23","article-title":"Accurate image super-resolution using very deep convolutional networks","author":"Kim","year":"2015","journal-title":"arXiv:1511.04587"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.1109\/cvpr.2018.00262"},{"key":"ref25","doi-asserted-by":"publisher","DOI":"10.1109\/cvpr.2017.298"},{"key":"ref26","doi-asserted-by":"publisher","DOI":"10.1109\/iccv.2017.514"},{"key":"ref27","doi-asserted-by":"publisher","DOI":"10.1109\/cvpr.2016.207"},{"key":"ref28","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV51070.2023.01213"},{"key":"ref29","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-031-19800-7_15"},{"key":"ref30","first-page":"9355","article-title":"Twins: Revisiting the design of spatial attention in vision transformers","volume-title":"Proc. Neural Inf. Process. Syst.","author":"Chu"},{"key":"ref31","doi-asserted-by":"publisher","DOI":"10.1109\/iccv48922.2021.00061"},{"key":"ref32","doi-asserted-by":"publisher","DOI":"10.1109\/cvpr46437.2021.01212"},{"key":"ref33","article-title":"Cross aggregation transformer for image restoration","author":"Chen","year":"2022","journal-title":"arXiv:2211.13654"},{"key":"ref34","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-031-19790-1_39"},{"key":"ref35","article-title":"Accurate image restoration with attention retractable transformer","author":"Zhang","year":"2022","journal-title":"arXiv:2210.01427"},{"key":"ref36","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR52729.2023.02143"},{"key":"ref37","doi-asserted-by":"publisher","DOI":"10.24963\/ijcai.2023\/121"},{"key":"ref38","doi-asserted-by":"publisher","DOI":"10.1109\/cvpr52729.2023.02142"},{"key":"ref39","doi-asserted-by":"publisher","DOI":"10.1115\/1.3662552"},{"key":"ref40","first-page":"572","article-title":"Combining recurrent, convolutional, and continuous-time models with linear state-space layers","volume-title":"Proc. Neural Inf. Process. Syst.","author":"Gu"},{"key":"ref41","article-title":"Efficiently modeling long sequences with structured state spaces","author":"Gu","year":"2021","journal-title":"arXiv:2111.00396"},{"key":"ref42","article-title":"Efficient movie scene detection using state-space transformers","author":"Islam","year":"2022","journal-title":"arXiv:2212.14427"},{"key":"ref43","article-title":"Simplified state space layers for sequence modeling","author":"Smith","year":"2022","journal-title":"arXiv:2208.04933"},{"key":"ref44","article-title":"VMamba: Visual state space model","author":"Liu","year":"2024","journal-title":"arXiv:2401.10166"},{"key":"ref45","article-title":"VM-UNet: Vision mamba UNet for medical image segmentation","author":"Ruan","year":"2024","journal-title":"arXiv:2402.02491"},{"key":"ref46","article-title":"U-shaped vision mamba for single image dehazing","author":"Zheng","year":"2024","journal-title":"arXiv:2402.04139"},{"key":"ref47","doi-asserted-by":"publisher","DOI":"10.48550\/arXiv.1809.00219"},{"key":"ref48","doi-asserted-by":"publisher","DOI":"10.1109\/CVPRW.2017.150"},{"key":"ref49","doi-asserted-by":"publisher","DOI":"10.1109\/CVPRW.2017.149"},{"key":"ref50","first-page":"135.1","article-title":"Low-complexity single-image super-resolution based on nonnegative neighbor embedding","volume-title":"Proc. Brit. Mach. Vis. Conf.","author":"Bevilacqua"},{"key":"ref51","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-642-27413-8_47"},{"key":"ref52","doi-asserted-by":"publisher","DOI":"10.1109\/iccv.2001.937655"},{"key":"ref53","doi-asserted-by":"publisher","DOI":"10.1109\/cvpr.2015.7299156"},{"key":"ref54","doi-asserted-by":"publisher","DOI":"10.1007\/s11042-016-4020-z"},{"key":"ref55","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-01234-2_18"},{"key":"ref56","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-57321-8_15"},{"key":"ref57","article-title":"Cross-scale internal graph neural network for image super-resolution","author":"Zhou","year":"2020","journal-title":"arXiv:2006.16673"},{"key":"ref58","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-58610-2_12"},{"key":"ref59","doi-asserted-by":"publisher","DOI":"10.1109\/cvpr46437.2021.00352"},{"key":"ref60","article-title":"SRFormerV2: Taking a closer look at permuted self-attention for image super-resolution","author":"Zhou","year":"2023","journal-title":"arXiv:2303.09735"},{"key":"ref61","doi-asserted-by":"publisher","DOI":"10.1109\/iccv51070.2023.01131"},{"key":"ref62","doi-asserted-by":"publisher","DOI":"10.1109\/tip.2003.819861"},{"key":"ref63","article-title":"Interpreting super-resolution networks with local attribution maps","author":"Gu","year":"2020","journal-title":"arXiv:2011.11036"},{"key":"ref64","article-title":"Convolutional state space models for long-range spatiotemporal modeling","author":"Smith","year":"2023","journal-title":"arXiv:2310.19694"}],"container-title":["IEEE Transactions on Instrumentation and Measurement"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx8\/19\/10764799\/10816178.pdf?arnumber=10816178","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,1,20]],"date-time":"2025-01-20T18:46:23Z","timestamp":1737398783000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/10816178\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2025]]},"references-count":64,"URL":"https:\/\/doi.org\/10.1109\/tim.2024.3522426","relation":{},"ISSN":["0018-9456","1557-9662"],"issn-type":[{"value":"0018-9456","type":"print"},{"value":"1557-9662","type":"electronic"}],"subject":[],"published":{"date-parts":[[2025]]}}}