{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,6,9]],"date-time":"2026-06-09T05:18:25Z","timestamp":1780982305749,"version":"3.54.1"},"reference-count":47,"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:\/\/creativecommons.org\/licenses\/by\/4.0\/legalcode"}],"funder":[{"name":"European Joint Doctoral Program on Plenoptic Imaging (PLENOPTIMA) through European Union\u2019s Horizon 2020 Research and Innovation Program of Marie Sk\u0142odowska-Curie","award":["956770"],"award-info":[{"award-number":["956770"]}]},{"name":"European Union through the EU Interreg Aurora Project IMMERSE","award":["20366448"],"award-info":[{"award-number":["20366448"]}]},{"name":"Mid Sweden University Internal Funding"},{"DOI":"10.13039\/501100004359","name":"Vetenskapsr\u00e5det","doi-asserted-by":"publisher","award":["2022-06725"],"award-info":[{"award-number":["2022-06725"]}],"id":[{"id":"10.13039\/501100004359","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IEEE Access"],"published-print":{"date-parts":[[2025]]},"DOI":"10.1109\/access.2025.3637375","type":"journal-article","created":{"date-parts":[[2025,11,26]],"date-time":"2025-11-26T19:05:14Z","timestamp":1764183914000},"page":"201166-201182","source":"Crossref","is-referenced-by-count":1,"title":["CR-DARTS: Channel Redistribution-Based Differentiable Architecture Search"],"prefix":"10.1109","volume":"13","author":[{"ORCID":"https:\/\/orcid.org\/0000-0003-1667-7166","authenticated-orcid":false,"given":"Ali","family":"Hassan","sequence":"first","affiliation":[{"name":"Department of Computer and Electrical Engineering, Mid Sweden University, Sundsvall, Sweden"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Tingting","family":"Zhang","sequence":"additional","affiliation":[{"name":"Department of Computer and Electrical Engineering, Mid Sweden University, Sundsvall, Sweden"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-8135-1085","authenticated-orcid":false,"given":"Karen","family":"Egiazarian","sequence":"additional","affiliation":[{"name":"Faculty of Information Technology and Communication Sciences, Tampere University, Tampere, Finland"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-3751-6089","authenticated-orcid":false,"given":"M\u00e5rten","family":"Sj\u00f6str\u00f6m","sequence":"additional","affiliation":[{"name":"Department of Computer and Electrical Engineering, Mid Sweden University, Sundsvall, Sweden"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"263","reference":[{"key":"ref1","article-title":"Neural architecture search: Insights from 1000 papers","author":"White","year":"2023","journal-title":"arXiv:2301.08727"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1007\/s00521-021-06564-9"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1109\/ACCESS.2019.2908991"},{"key":"ref4","article-title":"DARTS: Differentiable architecture search","volume-title":"Proc. Int. Conf. Learn. Represent.","author":"Liu"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1145\/3665138"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2018.00907"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v33i01.33014780"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-01246-5_2"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1007\/s00521-024-10681-6"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2019.00138"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-59830-3_26"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2022.3153065"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1109\/TETCI.2023.3301395"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1109\/TETCI.2025.3592281"},{"key":"ref15","article-title":"PyTorch: An imperative style, high-performance deep learning library","author":"Paszke","year":"2019","journal-title":"arXiv:1912.01703"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1016\/j.neunet.2023.07.029"},{"key":"ref17","article-title":"PC-DARTS: Partial channel connections for memory-efficient architecture search","volume-title":"Proc. Int. Conf. Learn. Represent.","author":"Xu"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1109\/TII.2022.3184700"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR42600.2020.01155"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1016\/j.comnet.2021.108001"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1016\/j.ifacol.2022.07.120"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.3390\/drones8040142"},{"issue":"7","key":"ref23","doi-asserted-by":"crossref","first-page":"456","DOI":"10.3390\/drones7070456","article-title":"FBC-ANet: A semantic segmentation model for UAV forest fire images combining boundary enhancement and context awareness","volume":"7","author":"Zhang","year":"2023","journal-title":"Drones"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2017.195"},{"key":"ref25","doi-asserted-by":"publisher","DOI":"10.1080\/2150704x.2024.2449475"},{"key":"ref26","volume-title":"YOLOv8: Real-Time Object Detection and Segmentation","author":"Jocher","year":"2023"},{"key":"ref27","doi-asserted-by":"publisher","DOI":"10.48550\/arXiv.1802.02611"},{"key":"ref28","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2019.00140"},{"key":"ref29","doi-asserted-by":"publisher","DOI":"10.1109\/TCSVT.2024.3509504"},{"key":"ref30","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-319-24574-4_28"},{"issue":"13","key":"ref31","doi-asserted-by":"crossref","first-page":"3159","DOI":"10.3390\/rs14133159","article-title":"Forest fire segmentation from aerial imagery data using an improved instance segmentation model","volume":"14","author":"Guan","year":"2022","journal-title":"Remote Sens."},{"key":"ref32","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2016.90"},{"key":"ref33","article-title":"Fast and accurate deep network learning by exponential linear units (ELUs)","author":"Clevert","year":"2015","journal-title":"arXiv:1511.07289"},{"key":"ref34","first-page":"4510","article-title":"Inverted residuals and linear bottlenecks: Mobile networks for classification, detection and segmentation","volume-title":"Proc. CVPR","author":"Howard"},{"key":"ref35","volume-title":"Progressive differentiable architecture search: Bridging the depth gap between search and evaluation","author":"Chen","year":"2025"},{"key":"ref36","volume-title":"Progressive Differentiable Architecture Search: Bridging the Depth Gap Between Search and Evaluation","author":"Chen","year":"2025"},{"key":"ref37","article-title":"Improved regularization of convolutional neural networks with cutout","author":"DeVries","year":"2017","journal-title":"arXiv:1708.04552"},{"key":"ref38","doi-asserted-by":"publisher","DOI":"10.1007\/s11263-015-0816-y"},{"key":"ref39","volume-title":"Stochastic Gradient Descent\u2014PyTorch 2.9 Documentation","year":"2025"},{"key":"ref40","article-title":"SGDR: Stochastic gradient descent with warm restarts","volume-title":"Proc. 5th Int. Conf. Learn. Represent.","author":"Loshchilov"},{"key":"ref41","volume-title":"NAS-Unet: Neural architecture search for medical image segmentation","author":"Zhou","year":"2025"},{"key":"ref42","volume-title":"Aerial Imagery Dataset for Fire Detection: Classification and Segmentation Using Unmanned Aerial Vehicle (UAV)","author":"Shamsoshoara","year":"2025"},{"key":"ref43","doi-asserted-by":"publisher","DOI":"10.1109\/TITS.2022.3203868"},{"key":"ref44","volume-title":"Nas-unet: Neural Architecture Search for Medical Image Segmentation","author":"Zhou","year":"2025"},{"key":"ref45","article-title":"Adam: A method for stochastic optimization","author":"Kingma","year":"2014","journal-title":"arXiv:1412.6980"},{"key":"ref46","volume-title":"NVIDIA A100 Tensor Core GPU","year":"2020"},{"key":"ref47","doi-asserted-by":"publisher","DOI":"10.1016\/j.inffus.2024.102417"}],"container-title":["IEEE Access"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx8\/6287639\/10820123\/11269759.pdf?arnumber=11269759","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,12,5]],"date-time":"2025-12-05T18:40:17Z","timestamp":1764960017000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/11269759\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2025]]},"references-count":47,"URL":"https:\/\/doi.org\/10.1109\/access.2025.3637375","relation":{},"ISSN":["2169-3536"],"issn-type":[{"value":"2169-3536","type":"electronic"}],"subject":[],"published":{"date-parts":[[2025]]}}}