{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,4,27]],"date-time":"2026-04-27T16:33:07Z","timestamp":1777307587449,"version":"3.51.4"},"reference-count":38,"publisher":"Elsevier BV","license":[{"start":{"date-parts":[[2026,9,1]],"date-time":"2026-09-01T00:00:00Z","timestamp":1788220800000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.elsevier.com\/tdm\/userlicense\/1.0\/"},{"start":{"date-parts":[[2026,9,1]],"date-time":"2026-09-01T00:00:00Z","timestamp":1788220800000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.elsevier.com\/legal\/tdmrep-license"},{"start":{"date-parts":[[2026,9,1]],"date-time":"2026-09-01T00:00:00Z","timestamp":1788220800000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-017"},{"start":{"date-parts":[[2026,9,1]],"date-time":"2026-09-01T00:00:00Z","timestamp":1788220800000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"},{"start":{"date-parts":[[2026,9,1]],"date-time":"2026-09-01T00:00:00Z","timestamp":1788220800000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-012"},{"start":{"date-parts":[[2026,9,1]],"date-time":"2026-09-01T00:00:00Z","timestamp":1788220800000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2026,9,1]],"date-time":"2026-09-01T00:00:00Z","timestamp":1788220800000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-004"}],"content-domain":{"domain":["elsevier.com","sciencedirect.com"],"crossmark-restriction":true},"short-container-title":["Information Fusion"],"published-print":{"date-parts":[[2026,9]]},"DOI":"10.1016\/j.inffus.2026.104342","type":"journal-article","created":{"date-parts":[[2026,4,1]],"date-time":"2026-04-01T15:38:51Z","timestamp":1775057931000},"page":"104342","update-policy":"https:\/\/doi.org\/10.1016\/elsevier_cm_policy","source":"Crossref","is-referenced-by-count":0,"special_numbering":"C","title":["Adaptive fusion image enhancement and refinement via ERnet for robust object detection under adverse weather"],"prefix":"10.1016","volume":"133","author":[{"given":"Zhiyong","family":"Jing","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Zhaobing","family":"Chen","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-1170-3911","authenticated-orcid":false,"given":"Lei","family":"Shi","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Yufei","family":"Gao","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-8070-5363","authenticated-orcid":false,"given":"Yucheng","family":"Shi","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Lin","family":"Wei","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Xiangjie","family":"Wang","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Qingxian","family":"Wang","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"78","reference":[{"key":"10.1016\/j.inffus.2026.104342_bib0001","series-title":"2017Del InsThinspace IEEE International Conference on Computer Vision (ICCV), Venice, 22Del-Ins\u201329 October 2017","first-page":"4780","article-title":"AOD-Net: All-in-One dehazing network","author":"Li","year":"2017"},{"issue":"7","key":"10.1016\/j.inffus.2026.104342_bib0002","doi-asserted-by":"crossref","first-page":"4230","DOI":"10.1109\/TITS.2020.3014013","article-title":"Vehicle detection and tracking in adverse weather using a deep learning framework","volume":"22","author":"Hassaballah","year":"2021","journal-title":"Trans. Intell. Transport. Sys."},{"key":"10.1016\/j.inffus.2026.104342_bib0003","series-title":"Proceedings of the AAAI Conference on Artificial Intelligence, Washington","first-page":"1792","article-title":"Image-adaptive YOLO for object detection in adverse weather conditions","volume":"36","author":"Liu","year":"2022"},{"issue":"7","key":"10.1016\/j.inffus.2026.104342_bib0004","doi-asserted-by":"crossref","first-page":"4256","DOI":"10.1109\/TITS.2020.3013099","article-title":"Reviewnet: a fast and resource optimized network for enabling safe autonomous driving in hazy weather conditions","volume":"22","author":"Mehra","year":"2021","journal-title":"IEEE Trans. Intell. Transp. Syst."},{"key":"10.1016\/j.inffus.2026.104342_bib0005","series-title":"Twelfth International Conference on Signal Processing Systems, Online,20 January 2021","first-page":"1171902","article-title":"An adaptive weak light image enhancement method","volume":"11719","author":"Wang","year":"2021"},{"issue":"3","key":"10.1016\/j.inffus.2026.104342_bib0006","doi-asserted-by":"crossref","first-page":"2494","DOI":"10.1109\/TITS.2021.3117868","article-title":"Deep illumination-Aware dehazing with low-Light and detail enhancement","volume":"23","author":"Kim","year":"2022","journal-title":"IEEE Trans. Intell. Transp. Syst."},{"key":"10.1016\/j.inffus.2026.104342_bib0007","doi-asserted-by":"crossref","first-page":"3391","DOI":"10.1109\/TIP.2021.3060873","article-title":"RefineDNet: a weakly supervised refinement framework for single image dehazing","volume":"30","author":"Zhao","year":"2021","journal-title":"IEEE Trans. Image Process."},{"key":"10.1016\/j.inffus.2026.104342_bib0008","series-title":"2020Del InsThinspace IEEE\/CVF Conference on Computer Vision and Pattern Recognition (CVPR), Seattle, 13Del-Ins\u201319 June 2020","first-page":"2154","article-title":"Multi-Scale boosted dehazing network with dense feature fusion","author":"Dong","year":"2020"},{"key":"10.1016\/j.inffus.2026.104342_bib0009","series-title":"2017Del InsThinspace IEEE Conference on Computer Vision and Pattern Recognition (CVPR), Honolulu, 21Del-Ins\u201326 July 2017","first-page":"2790","article-title":"Image super-Resolution via deep recursive residual network","author":"Tai","year":"2017"},{"key":"10.1016\/j.inffus.2026.104342_bib0010","series-title":"Computer Vision \u2013 ECCV 2018 Workshops, Online, 23 January 2019","first-page":"230","article-title":"Range scaling global U-Net for perceptual image enhancement on mobile devices","author":"Huang","year":"2019"},{"key":"10.1016\/j.inffus.2026.104342_bib0011","doi-asserted-by":"crossref","first-page":"8580","DOI":"10.1109\/TMM.2023.3238521","article-title":"FECANet: Boosting few-Shot semantic segmentation with feature-Enhanced context-Aware network","volume":"25","author":"Liu","year":"2023","journal-title":"IEEE Trans. Multimedia"},{"key":"10.1016\/j.inffus.2026.104342_bib0012","series-title":"Computer Vision\u2013ECCV 2016: 14th European Conference, Amsterdam, October 11Del-Ins\u201314, 2016","first-page":"694","article-title":"Perceptual losses for real-Time style transfer and super-Resolution","volume":"14","author":"Johnson","year":"2016"},{"issue":"1","key":"10.1016\/j.inffus.2026.104342_bib0013","first-page":"47","article-title":"Loss functions for image restoration with neural networks","volume":"3","author":"Zhao","year":"2017","journal-title":"IEEE Trans. Comput. Imag."},{"issue":"11","key":"10.1016\/j.inffus.2026.104342_bib0014","doi-asserted-by":"crossref","first-page":"3212","DOI":"10.1109\/TNNLS.2018.2876865","article-title":"Object detection with deep learning: a review","volume":"30","author":"Zhao","year":"2019","journal-title":"IEEE Trans. Neural Netw. Learn. Syst."},{"key":"10.1016\/j.inffus.2026.104342_bib0015","series-title":"2016Del InsThinspace IEEE Conference on Computer Vision and Pattern Recognition (CVPR), Las Vegas, 27Del-Ins\u201330 June 2016","first-page":"779","article-title":"You only look once: unified, real-Time object detection","author":"Redmon","year":"2016"},{"key":"10.1016\/j.inffus.2026.104342_bib0016","series-title":"2023Del InsThinspace IEEE\/CVF Conference on Computer Vision and Pattern Recognition (CVPR), Vancouver, 17Del-Ins\u201324 June 2023","first-page":"7464","article-title":"YOLOv7: Trainable bag-of-Freebies sets new state-of-the-Art for real-Time object detectors","author":"Wang","year":"2023"},{"key":"10.1016\/j.inffus.2026.104342_bib0017","series-title":"Computer Vision\u2013ECCV 2016: 14th European Conference, Amsterdam, October 11\u201314, 2016","first-page":"21","article-title":"SSD: Single shot multibox detector","volume":"14","author":"Liu","year":"2016"},{"key":"10.1016\/j.inffus.2026.104342_bib0018","series-title":"2017Del InsThinspace IEEE International Conference on Computer Vision (ICCV), Venice, 22Del-Ins\u201329 October 2017","first-page":"2999","article-title":"Focal loss for dense object detection","author":"Lin","year":"2017"},{"key":"10.1016\/j.inffus.2026.104342_bib0019","series-title":"2019Del InsThinspace IEEE\/CVF International Conference on Computer Vision (ICCV), Seoul, 27 October 2019 - 02 November 2019","first-page":"9626","article-title":"FCOS: Fully convolutional one-Stage object detection","author":"Tian","year":"2019"},{"key":"10.1016\/j.inffus.2026.104342_bib0020","series-title":"Proceedings of the 2014Del InsThinspace IEEE Conference on Computer Vision and Pattern Recognition, Columbus, 23Del-Ins\u201328 June 2014","first-page":"580-587","article-title":"Rich feature hierarchies for accurate object detection and semantic segmentation","author":"Girshick","year":"2014"},{"issue":"6","key":"10.1016\/j.inffus.2026.104342_bib0021","doi-asserted-by":"crossref","first-page":"1137","DOI":"10.1109\/TPAMI.2016.2577031","article-title":"Faster R-CNN: towards real-Time object detection with region proposal networks","volume":"39","author":"Ren","year":"2017","journal-title":"IEEE Trans. Pattern Anal. Mach. Intell."},{"key":"10.1016\/j.inffus.2026.104342_bib0022","series-title":"2017Del InsThinspace IEEE International Conference on Computer Vision (ICCV), Venice, 22Del-Ins\u201329 October 2017","first-page":"2980","article-title":"Mask R-CNN","author":"He","year":"2017"},{"issue":"5","key":"10.1016\/j.inffus.2026.104342_bib0023","doi-asserted-by":"crossref","first-page":"1483","DOI":"10.1109\/TPAMI.2019.2956516","article-title":"Cascade R-CNN: high quality object detection and instance segmentation","volume":"43","author":"Cai","year":"2021","journal-title":"IEEE Trans. Pattern Anal. Mach. Intell."},{"issue":"3","key":"10.1016\/j.inffus.2026.104342_bib0024","doi-asserted-by":"crossref","first-page":"704","DOI":"10.1109\/TMM.2019.2933334","article-title":"PDR-Net: Perception-Inspired single image dehazing network with refinement","volume":"22","author":"Li","year":"2020","journal-title":"IEEE Trans. Multimedia"},{"issue":"13","key":"10.1016\/j.inffus.2026.104342_bib0025","doi-asserted-by":"crossref","first-page":"10719","DOI":"10.1007\/s00521-022-07007-9","article-title":"CDNet: A real-time and robust crosswalk detection network on jetson nano based on YOLOv5","volume":"34","author":"Zhang","year":"2022","journal-title":"Neural Comput. Appl."},{"issue":"8","key":"10.1016\/j.inffus.2026.104342_bib0026","first-page":"2623","article-title":"DSNet: Joint semantic learning for object detection in inclement weather conditions","volume":"43","author":"Huang","year":"2021","journal-title":"IEEE Trans. Pattern Anal. Mach. Intell."},{"key":"10.1016\/j.inffus.2026.104342_bib0027","series-title":"Computer Vision\u2013ECCV 2020: 16th European Conference, Glasgow, August 23\u201328 2020","first-page":"763","article-title":"Prior-based domain adaptive object detection for hazy and rainy conditions","volume":"16","author":"Sindagi","year":"2020"},{"key":"10.1016\/j.inffus.2026.104342_bib0028","series-title":"Proceedings of the 13Th Asian Conference on Machine Learning, Snowmass, Online, 17\u201319 November 2021","first-page":"785","article-title":"Domain adaptive YOLO for one-Stage cross-Domain detection","volume":"157","author":"Zhang","year":"2021"},{"key":"10.1016\/j.inffus.2026.104342_bib0029","doi-asserted-by":"crossref","DOI":"10.1016\/j.patcog.2024.110756","article-title":"Dehazing & reasoning YOLO: prior knowledge-guided network for object detection in foggy weather","volume":"156","author":"Zhong","year":"2024","journal-title":"Pattern Recognit."},{"key":"10.1016\/j.inffus.2026.104342_bib0030","unstructured":"K. Simonyan, A. Zisserman, Very deep convolutional networks for large-Scale image recognition, arxiv (2015) 1409\u20131556. 10.48550\/arXiv.1409.1556."},{"issue":"4","key":"10.1016\/j.inffus.2026.104342_bib0031","doi-asserted-by":"crossref","first-page":"532","DOI":"10.1109\/TCOM.1983.1095851","article-title":"The laplacian pyramid as a compact image code","volume":"31","author":"Burt","year":"1983","journal-title":"IEEE Trans. Commun."},{"key":"10.1016\/j.inffus.2026.104342_bib0032","series-title":"The Thrity-Seventh Asilomar Conference on Signals, Systems & Computers, Pacific Grove, 09Del-Ins\u201312 November 2003","first-page":"1398","article-title":"Multiscale structural similarity for image quality assessment","volume":"2","author":"Wang","year":"2003"},{"key":"10.1016\/j.inffus.2026.104342_bib0033","article-title":"YOLOv3: An incremental improvement","volume":"abs\/1804.02767","author":"Redmon","year":"2018","journal-title":"CoRR"},{"key":"10.1016\/j.inffus.2026.104342_bib0034","series-title":"Computer Vision\u2013ECCV 2014: 13th European Conference, Zurich, September 6Del-Ins\u201312, 2014","first-page":"740","article-title":"Microsoft COCO: common objects in context","volume":"13","author":"Lin","year":"2014"},{"key":"10.1016\/j.inffus.2026.104342_bib0035","doi-asserted-by":"crossref","first-page":"98","DOI":"10.1007\/s11263-014-0733-5","article-title":"The PASCAL visual object classes challenge: a retrospective","volume":"111","author":"Everingham","year":"2015","journal-title":"Int. J. Comput. Vis."},{"issue":"11","key":"10.1016\/j.inffus.2026.104342_bib0036","doi-asserted-by":"crossref","first-page":"1231","DOI":"10.1177\/0278364913491297","article-title":"Vision meets robotics: the KITTI dataset","volume":"32","author":"Geiger","year":"2013","journal-title":"Int. J. Rob. Res."},{"key":"10.1016\/j.inffus.2026.104342_bib0037","series-title":"2019Del InsThinspace IEEE International Conference on Image Processing (ICIP), Taipei, 22Del-Ins\u201325 September 2019","first-page":"1014","article-title":"Dense-Haze: a benchmark for image dehazing with dense-Haze and haze-Free images","author":"Ancuti","year":"2019"},{"issue":"1","key":"10.1016\/j.inffus.2026.104342_bib0038","doi-asserted-by":"crossref","first-page":"492","DOI":"10.1109\/TIP.2018.2867951","article-title":"Benchmarking single-Image dehazing and beyond","volume":"28","author":"Li","year":"2019","journal-title":"IEEE Trans. Image Process."}],"container-title":["Information Fusion"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/api.elsevier.com\/content\/article\/PII:S1566253526002216?httpAccept=text\/xml","content-type":"text\/xml","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/api.elsevier.com\/content\/article\/PII:S1566253526002216?httpAccept=text\/plain","content-type":"text\/plain","content-version":"vor","intended-application":"text-mining"}],"deposited":{"date-parts":[[2026,4,27]],"date-time":"2026-04-27T15:36:07Z","timestamp":1777304167000},"score":1,"resource":{"primary":{"URL":"https:\/\/linkinghub.elsevier.com\/retrieve\/pii\/S1566253526002216"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2026,9]]},"references-count":38,"alternative-id":["S1566253526002216"],"URL":"https:\/\/doi.org\/10.1016\/j.inffus.2026.104342","relation":{},"ISSN":["1566-2535"],"issn-type":[{"value":"1566-2535","type":"print"}],"subject":[],"published":{"date-parts":[[2026,9]]},"assertion":[{"value":"Elsevier","name":"publisher","label":"This article is maintained by"},{"value":"Adaptive fusion image enhancement and refinement via ERnet for robust object detection under adverse weather","name":"articletitle","label":"Article Title"},{"value":"Information Fusion","name":"journaltitle","label":"Journal Title"},{"value":"https:\/\/doi.org\/10.1016\/j.inffus.2026.104342","name":"articlelink","label":"CrossRef DOI link to publisher maintained version"},{"value":"article","name":"content_type","label":"Content Type"},{"value":"\u00a9 2026 Elsevier B.V. All rights are reserved, including those for text and data mining, AI training, and similar technologies.","name":"copyright","label":"Copyright"}],"article-number":"104342"}}