{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,8,4]],"date-time":"2026-08-04T14:58:17Z","timestamp":1785855497531,"version":"3.56.0"},"reference-count":65,"publisher":"Elsevier BV","license":[{"start":{"date-parts":[[2026,10,1]],"date-time":"2026-10-01T00:00:00Z","timestamp":1790812800000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.elsevier.com\/tdm\/userlicense\/1.0\/"},{"start":{"date-parts":[[2026,10,1]],"date-time":"2026-10-01T00:00:00Z","timestamp":1790812800000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.elsevier.com\/legal\/tdmrep-license"},{"start":{"date-parts":[[2026,10,1]],"date-time":"2026-10-01T00:00:00Z","timestamp":1790812800000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-017"},{"start":{"date-parts":[[2026,10,1]],"date-time":"2026-10-01T00:00:00Z","timestamp":1790812800000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"},{"start":{"date-parts":[[2026,10,1]],"date-time":"2026-10-01T00:00:00Z","timestamp":1790812800000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-012"},{"start":{"date-parts":[[2026,10,1]],"date-time":"2026-10-01T00:00:00Z","timestamp":1790812800000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2026,10,1]],"date-time":"2026-10-01T00:00:00Z","timestamp":1790812800000},"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":["Engineering Applications of Artificial Intelligence"],"published-print":{"date-parts":[[2026,10]]},"DOI":"10.1016\/j.engappai.2026.115366","type":"journal-article","created":{"date-parts":[[2026,6,17]],"date-time":"2026-06-17T09:22:55Z","timestamp":1781688175000},"page":"115366","update-policy":"https:\/\/doi.org\/10.1016\/elsevier_cm_policy","source":"Crossref","is-referenced-by-count":0,"special_numbering":"P2","title":["Contrastive and distillation-assisted unpaired real-world image dehazing"],"prefix":"10.1016","volume":"181","author":[{"ORCID":"https:\/\/orcid.org\/0009-0004-6482-8808","authenticated-orcid":false,"given":"Zhixuan","family":"Sun","sequence":"first","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Wenbin","family":"Xiong","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Yingguang","family":"Hao","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-1038-412X","authenticated-orcid":false,"given":"Hongyu","family":"Wang","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"78","reference":[{"key":"10.1016\/j.engappai.2026.115366_b1","unstructured":"Ancuti, C.O., Ancuti, C., Vasluianu, F.A., Timofte, R., 2020. Ntire 2020 challenge on nonhomogeneous dehazing. In: Proceedings of the IEEE\/CVF Conference on Computer Vision and Pattern Recognition Workshops. pp. 490\u2013491."},{"key":"10.1016\/j.engappai.2026.115366_b2","series-title":"Dehaze-GLCGAN: unpaired single image de-hazing via adversarial training","author":"Anvari","year":"2020"},{"key":"10.1016\/j.engappai.2026.115366_b3","series-title":"European Conference on Computer Vision","first-page":"427","article-title":"RVSL: Robust vehicle similarity learning in real hazy scenes based on semi-supervised learning","author":"Chen","year":"2022"},{"key":"10.1016\/j.engappai.2026.115366_b4","series-title":"European Conference on Computer Vision","first-page":"632","article-title":"Unpaired deep image dehazing using contrastive disentanglement learning","author":"Chen","year":"2022"},{"key":"10.1016\/j.engappai.2026.115366_b5","doi-asserted-by":"crossref","unstructured":"Chen, W.T., Fang, H.Y., Hsieh, C.L., Tsai, C.C., Chen, I., Ding, J.J., Kuo, S.Y., 2021. All snow removed: Single image desnowing algorithm using hierarchical dual-tree complex wavelet representation and contradict channel loss. In: Proceedings of the IEEE\/CVF International Conference on Computer Vision. pp. 4196\u20134205.","DOI":"10.1109\/ICCV48922.2021.00416"},{"key":"10.1016\/j.engappai.2026.115366_b6","doi-asserted-by":"crossref","first-page":"1002","DOI":"10.1109\/TIP.2024.3354108","article-title":"DEA-net: Single image dehazing based on detail-enhanced convolution and content-guided attention","volume":"33","author":"Chen","year":"2024","journal-title":"IEEE Trans. Image Process."},{"key":"10.1016\/j.engappai.2026.115366_b7","doi-asserted-by":"crossref","unstructured":"Chen, W.T., Huang, Z.K., Tsai, C.C., Yang, H.H., Ding, J.J., Kuo, S.Y., 2022. Learning multiple adverse weather removal via two-stage knowledge learning and multi-contrastive regularization: Toward a unified model. In: Proceedings of the IEEE\/CVF Conference on Computer Vision and Pattern Recognition. pp. 17653\u201317662.","DOI":"10.1109\/CVPR52688.2022.01713"},{"key":"10.1016\/j.engappai.2026.115366_b8","series-title":"International Conference on Machine Learning","first-page":"1597","article-title":"A simple framework for contrastive learning of visual representations","author":"Chen","year":"2020"},{"key":"10.1016\/j.engappai.2026.115366_b9","doi-asserted-by":"crossref","unstructured":"Chen, Z., Wang, Y., Yang, Y., Liu, D., 2021. PSD: Principled synthetic-to-real dehazing guided by physical priors. In: Proceedings of the IEEE\/CVF Conference on Computer Vision and Pattern Recognition. pp. 7180\u20137189.","DOI":"10.1109\/CVPR46437.2021.00710"},{"issue":"11","key":"10.1016\/j.engappai.2026.115366_b10","doi-asserted-by":"crossref","first-page":"3888","DOI":"10.1109\/TIP.2015.2456502","article-title":"Referenceless prediction of perceptual fog density and perceptual image defogging","volume":"24","author":"Choi","year":"2015","journal-title":"IEEE Trans. Image Process."},{"key":"10.1016\/j.engappai.2026.115366_b11","series-title":"European Conference on Computer Vision","first-page":"722","article-title":"Hardgan: A haze-aware representation distillation gan for single image dehazing","author":"Deng","year":"2020"},{"key":"10.1016\/j.engappai.2026.115366_b12","doi-asserted-by":"crossref","unstructured":"Engin, D., Gen\u00e7, A., Kemal Ekenel, H., 2018. Cycle-dehaze: Enhanced cyclegan for single image dehazing. In: Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition Workshops. pp. 825\u2013833.","DOI":"10.1109\/CVPRW.2018.00127"},{"issue":"3","key":"10.1016\/j.engappai.2026.115366_b13","doi-asserted-by":"crossref","first-page":"1","DOI":"10.1145\/1360612.1360671","article-title":"Single image dehazing","volume":"27","author":"Fattal","year":"2008","journal-title":"ACM Trans. Graph."},{"key":"10.1016\/j.engappai.2026.115366_b14","doi-asserted-by":"crossref","unstructured":"Fu, J., Liu, S., Liu, Z., Guo, C.L., Park, H., Wu, R., Wang, G., Li, C., 2025. Iterative Predictor-Critic Code Decoding for Real-World Image Dehazing. In: Proceedings of the IEEE\/CVF Conference on Computer Vision and Pattern Recognition. pp. 12700\u201312709.","DOI":"10.1109\/CVPR52734.2025.01185"},{"key":"10.1016\/j.engappai.2026.115366_b15","doi-asserted-by":"crossref","unstructured":"Gao, H., Guo, J., Wang, G., Zhang, Q., 2022. Cross-domain correlation distillation for unsupervised domain adaptation in nighttime semantic segmentation. In: Proceedings of the IEEE\/CVF Conference on Computer Vision and Pattern Recognition. pp. 9913\u20139923.","DOI":"10.1109\/CVPR52688.2022.00968"},{"key":"10.1016\/j.engappai.2026.115366_b16","doi-asserted-by":"crossref","first-page":"2692","DOI":"10.1109\/TIP.2019.2952032","article-title":"Unsupervised single image dehazing using dark channel prior loss","volume":"29","author":"Golts","year":"2019","journal-title":"IEEE Trans. Image Process."},{"key":"10.1016\/j.engappai.2026.115366_b17","series-title":"Matrix Computations","author":"Golub","year":"2013"},{"key":"10.1016\/j.engappai.2026.115366_b18","doi-asserted-by":"crossref","unstructured":"Guo, C.L., Yan, Q., Anwar, S., Cong, R., Ren, W., Li, C., 2022. Image dehazing transformer with transmission-aware 3d position embedding. In: Proceedings of the IEEE\/CVF Conference on Computer Vision and Pattern Recognition. pp. 5812\u20135820.","DOI":"10.1109\/CVPR52688.2022.00572"},{"key":"10.1016\/j.engappai.2026.115366_b19","doi-asserted-by":"crossref","unstructured":"He, K., Fan, H., Wu, Y., Xie, S., Girshick, R., 2020. Momentum contrast for unsupervised visual representation learning. In: Proceedings of the IEEE\/CVF Conference on Computer Vision and Pattern Recognition. pp. 9729\u20139738.","DOI":"10.1109\/CVPR42600.2020.00975"},{"issue":"12","key":"10.1016\/j.engappai.2026.115366_b20","first-page":"2341","article-title":"Single image haze removal using dark channel prior","volume":"33","author":"He","year":"2010","journal-title":"IEEE Trans. Pattern Anal. Mach. Intell."},{"key":"10.1016\/j.engappai.2026.115366_b21","series-title":"International Conference on Machine Learning","first-page":"4182","article-title":"Data-efficient image recognition with contrastive predictive coding","author":"Henaff","year":"2020"},{"key":"10.1016\/j.engappai.2026.115366_b22","series-title":"Distilling the knowledge in a neural network","author":"Hinton","year":"2015"},{"key":"10.1016\/j.engappai.2026.115366_b23","series-title":"European Conference on Computer Vision","first-page":"163","article-title":"Deep fourier-based exposure correction network with spatial-frequency interaction","author":"Huang","year":"2022"},{"key":"10.1016\/j.engappai.2026.115366_b24","doi-asserted-by":"crossref","unstructured":"Isola, P., Zhu, J.Y., Zhou, T., Efros, A.A., 2017. Image-to-image translation with conditional adversarial networks. In: Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition. pp. 1125\u20131134.","DOI":"10.1109\/CVPR.2017.632"},{"key":"10.1016\/j.engappai.2026.115366_b25","doi-asserted-by":"crossref","DOI":"10.1016\/j.neunet.2024.106107","article-title":"Self-guided disentangled representation learning for single image dehazing","volume":"172","author":"Jia","year":"2024","journal-title":"Neural Netw."},{"key":"10.1016\/j.engappai.2026.115366_b26","doi-asserted-by":"crossref","DOI":"10.1016\/j.neucom.2024.128574","article-title":"No-reference quality evaluation of realistic hazy images via singular value decomposition","volume":"610","author":"Kajo","year":"2024","journal-title":"Neurocomputing"},{"key":"10.1016\/j.engappai.2026.115366_b27","doi-asserted-by":"crossref","unstructured":"Lee, J.H., Heo, M., Kim, K.R., Kim, C.S., 2018. Single-image depth estimation based on fourier domain analysis. In: Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition. pp. 330\u2013339.","DOI":"10.1109\/CVPR.2018.00042"},{"key":"10.1016\/j.engappai.2026.115366_b28","series-title":"Embedding fourier for ultra-high-definition low-light image enhancement","author":"Li","year":"2023"},{"key":"10.1016\/j.engappai.2026.115366_b29","doi-asserted-by":"crossref","DOI":"10.1016\/j.engappai.2022.105774","article-title":"Progressive cross-domain knowledge distillation for efficient unsupervised domain adaptive object detection","volume":"119","author":"Li","year":"2023","journal-title":"Eng. Appl. Artif. Intell."},{"key":"10.1016\/j.engappai.2026.115366_b30","doi-asserted-by":"crossref","first-page":"3587","DOI":"10.1109\/TMM.2022.3163554","article-title":"USID-net: Unsupervised single image dehazing network via disentangled representations","volume":"25","author":"Li","year":"2022","journal-title":"IEEE Trans. Multimed."},{"key":"10.1016\/j.engappai.2026.115366_b31","doi-asserted-by":"crossref","unstructured":"Li, B., Peng, X., Wang, Z., Xu, J., Feng, D., 2017. Aod-net: All-in-one dehazing network. In: Proceedings of the IEEE International Conference on Computer Vision. pp. 4770\u20134778.","DOI":"10.1109\/ICCV.2017.511"},{"issue":"1","key":"10.1016\/j.engappai.2026.115366_b32","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":"2018","journal-title":"IEEE Trans. Image Process."},{"key":"10.1016\/j.engappai.2026.115366_b33","doi-asserted-by":"crossref","unstructured":"Liu, X., Ma, Y., Shi, Z., Chen, J., 2019. Griddehazenet: Attention-based multi-scale network for image dehazing. In: Proceedings of the IEEE\/CVF International Conference on Computer Vision. pp. 7314\u20137323.","DOI":"10.1109\/ICCV.2019.00741"},{"key":"10.1016\/j.engappai.2026.115366_b34","doi-asserted-by":"crossref","unstructured":"Liu, Y., Zhu, L., Pei, S., Fu, H., Qin, J., Zhang, Q., Wan, L., Feng, W., 2021. From synthetic to real: Image dehazing collaborating with unlabeled real data. In: Proceedings of the 29th ACM International Conference on Multimedia. pp. 50\u201358.","DOI":"10.1145\/3474085.3475331"},{"key":"10.1016\/j.engappai.2026.115366_b35","doi-asserted-by":"crossref","unstructured":"Mao, X., Li, Q., Xie, H., Lau, R.Y., Wang, Z., Paul Smolley, S., 2017. Least squares generative adversarial networks. In: Proceedings of the IEEE International Conference on Computer Vision. pp. 2794\u20132802.","DOI":"10.1109\/ICCV.2017.304"},{"key":"10.1016\/j.engappai.2026.115366_b36","series-title":"Deep residual fourier transformation for single image deblurring","author":"Mao","year":"2021"},{"key":"10.1016\/j.engappai.2026.115366_b37","series-title":"Optics of the Atmosphere: Scattering by Molecules and Particles","author":"McCartney","year":"1976"},{"key":"10.1016\/j.engappai.2026.115366_b38","series-title":"Vision Through the Atmosphere","author":"Middleton","year":"1952"},{"issue":"12","key":"10.1016\/j.engappai.2026.115366_b39","doi-asserted-by":"crossref","first-page":"4695","DOI":"10.1109\/TIP.2012.2214050","article-title":"No-reference image quality assessment in the spatial domain","volume":"21","author":"Mittal","year":"2012","journal-title":"IEEE Trans. Image Process."},{"key":"10.1016\/j.engappai.2026.115366_b40","doi-asserted-by":"crossref","unstructured":"Nehete, H., Monga, A., Kaushik, P., Kaushik, B.K., 2024. Fourier Prior-Based Two-Stage Architecture for Image Restoration. In: Proceedings of the IEEE\/CVF Conference on Computer Vision and Pattern Recognition. pp. 6014\u20136023.","DOI":"10.1109\/CVPRW63382.2024.00608"},{"key":"10.1016\/j.engappai.2026.115366_b41","series-title":"Computer Vision\u2013ECCV 2020: 16th European Conference, Glasgow, UK, August 23\u201328, 2020, Proceedings, Part IX 16","first-page":"319","article-title":"Contrastive learning for unpaired image-to-image translation","author":"Park","year":"2020"},{"key":"10.1016\/j.engappai.2026.115366_b42","first-page":"11908","article-title":"FFA-net: Feature fusion attention network for single image dehazing","volume":"vol. 34","author":"Qin","year":"2020"},{"key":"10.1016\/j.engappai.2026.115366_b43","series-title":"Very deep convolutional networks for large-scale image recognition","author":"Simonyan","year":"2014"},{"key":"10.1016\/j.engappai.2026.115366_b44","doi-asserted-by":"crossref","first-page":"1927","DOI":"10.1109\/TIP.2023.3256763","article-title":"Vision transformers for single image dehazing","volume":"32","author":"Song","year":"2023","journal-title":"IEEE Trans. Image Process."},{"issue":"1","key":"10.1016\/j.engappai.2026.115366_b45","doi-asserted-by":"crossref","first-page":"1229","DOI":"10.1109\/JIOT.2025.3627558","article-title":"Fourier-guided dehazing for IoT edge vision: Modeling nonhomogeneous haze with a cyclic mamba-enhanced transformer","volume":"13","author":"Sun","year":"2026","journal-title":"IEEE Internet Things J."},{"key":"10.1016\/j.engappai.2026.115366_b46","series-title":"2008 IEEE Conference on Computer Vision and Pattern Recognition","first-page":"1","article-title":"Visibility in bad weather from a single image","author":"Tan","year":"2008"},{"key":"10.1016\/j.engappai.2026.115366_b47","series-title":"2015 Twenty First National Conference on Communications","first-page":"1","article-title":"Blind image quality evaluation using perception based features","author":"Venkatanath","year":"2015"},{"issue":"4","key":"10.1016\/j.engappai.2026.115366_b48","doi-asserted-by":"crossref","first-page":"600","DOI":"10.1109\/TIP.2003.819861","article-title":"Image quality assessment: from error visibility to structural similarity","volume":"13","author":"Wang","year":"2004","journal-title":"IEEE Trans. Image Process."},{"key":"10.1016\/j.engappai.2026.115366_b49","first-page":"9233","article-title":"Go from the general to the particular: Multi-domain translation with domain transformation networks","volume":"vol. 34","author":"Wang","year":"2020"},{"key":"10.1016\/j.engappai.2026.115366_b50","doi-asserted-by":"crossref","DOI":"10.1016\/j.neunet.2024.106281","article-title":"Frequency compensated diffusion model for real-scene dehazing","volume":"175","author":"Wang","year":"2024","journal-title":"Neural Netw."},{"issue":"3","key":"10.1016\/j.engappai.2026.115366_b51","doi-asserted-by":"crossref","first-page":"351","DOI":"10.1109\/TETCI.2023.3235381","article-title":"Centernet-auto: A multi-object visual detection algorithm for autonomous driving scenes based on improved centernet","volume":"7","author":"Wang","year":"2023","journal-title":"IEEE Trans. Emerg. Top. Comput. Intell."},{"key":"10.1016\/j.engappai.2026.115366_b52","doi-asserted-by":"crossref","first-page":"1361","DOI":"10.1109\/TIP.2024.3362153","article-title":"UCL-dehaze: toward real-world image dehazing via unsupervised contrastive learning","volume":"33","author":"Wang","year":"2024","journal-title":"IEEE Trans. Image Process."},{"key":"10.1016\/j.engappai.2026.115366_b53","doi-asserted-by":"crossref","unstructured":"Wang, R., Zheng, Y., Zhang, Z., Li, C., Liu, S., Zhai, G., Liu, X., 2025. Learning hazing to dehazing: Towards realistic haze generation for real-world image dehazing. In: Proceedings of the IEEE\/CVF Conference on Computer Vision and Pattern Recognition. pp. 23091\u201323100.","DOI":"10.1109\/CVPR52734.2025.02150"},{"key":"10.1016\/j.engappai.2026.115366_b54","doi-asserted-by":"crossref","unstructured":"Wu, R.Q., Duan, Z.P., Guo, C.L., Chai, Z., Li, C., 2023. RIDCP: Revitalizing Real Image Dehazing via High-Quality Codebook Priors. In: Proceedings of the IEEE\/CVF Conference on Computer Vision and Pattern Recognition. CVPR, pp. 22282\u201322291.","DOI":"10.1109\/CVPR52729.2023.02134"},{"key":"10.1016\/j.engappai.2026.115366_b55","doi-asserted-by":"crossref","unstructured":"Wu, H., Qu, Y., Lin, S., Zhou, J., Qiao, R., Zhang, Z., Xie, Y., Ma, L., 2021a. Contrastive learning for compact single image dehazing. In: Proceedings of the IEEE\/CVF Conference on Computer Vision and Pattern Recognition. pp. 10551\u201310560.","DOI":"10.1109\/CVPR46437.2021.01041"},{"key":"10.1016\/j.engappai.2026.115366_b56","doi-asserted-by":"crossref","unstructured":"Wu, H., Qu, Y., Lin, S., Zhou, J., Qiao, R., Zhang, Z., Xie, Y., Ma, L., 2021b. Contrastive learning for compact single image dehazing. In: Proceedings of the IEEE\/CVF Conference on Computer Vision and Pattern Recognition. pp. 10551\u201310560.","DOI":"10.1109\/CVPR46437.2021.01041"},{"key":"10.1016\/j.engappai.2026.115366_b57","series-title":"2016 3rd International Conference on Information Science and Control Engineering","first-page":"739","article-title":"Vehicle tracking incorporating low-rank sparse into particle filter in haze scene","author":"Wu","year":"2016"},{"key":"10.1016\/j.engappai.2026.115366_b58","first-page":"4318","article-title":"Cross-task knowledge distillation in multi-task recommendation","volume":"vol. 36","author":"Yang","year":"2022"},{"key":"10.1016\/j.engappai.2026.115366_b59","doi-asserted-by":"crossref","unstructured":"Yang, Y., Wang, C., Liu, R., Zhang, L., Guo, X., Tao, D., 2022. Self-augmented unpaired image dehazing via density and depth decomposition. In: Proceedings of the IEEE\/CVF Conference on Computer Vision and Pattern Recognition. pp. 2037\u20132046.","DOI":"10.1109\/CVPR52688.2022.00208"},{"key":"10.1016\/j.engappai.2026.115366_b60","series-title":"International Conference on Machine Learning","first-page":"11863","article-title":"Simam: A simple, parameter-free attention module for convolutional neural networks","author":"Yang","year":"2021"},{"key":"10.1016\/j.engappai.2026.115366_b61","series-title":"European Conference on Computer Vision","first-page":"181","article-title":"Frequency and spatial dual guidance for image dehazing","author":"Yu","year":"2022"},{"key":"10.1016\/j.engappai.2026.115366_b62","doi-asserted-by":"crossref","unstructured":"Zhang, Y., Chen, H., Chen, X., Deng, Y., Xu, C., Wang, Y., 2021. Data-free knowledge distillation for image super-resolution. In: Proceedings of the IEEE\/CVF Conference on Computer Vision and Pattern Recognition. pp. 7852\u20137861.","DOI":"10.1109\/CVPR46437.2021.00776"},{"key":"10.1016\/j.engappai.2026.115366_b63","doi-asserted-by":"crossref","unstructured":"Zhang, K., Liang, J., Van Gool, L., Timofte, R., 2021. Designing a practical degradation model for deep blind image super-resolution. In: Proceedings of the IEEE\/CVF International Conference on Computer Vision. pp. 4791\u20134800.","DOI":"10.1109\/ICCV48922.2021.00475"},{"key":"10.1016\/j.engappai.2026.115366_b64","doi-asserted-by":"crossref","unstructured":"Zheng, Y., Zhan, J., He, S., Dong, J., Du, Y., 2023. Curricular contrastive regularization for physics-aware single image dehazing. In: Proceedings of the IEEE\/CVF Conference on Computer Vision and Pattern Recognition. pp. 5785\u20135794.","DOI":"10.1109\/CVPR52729.2023.00560"},{"key":"10.1016\/j.engappai.2026.115366_b65","doi-asserted-by":"crossref","unstructured":"Zhu, J.Y., Park, T., Isola, P., Efros, A.A., 2017. Unpaired image-to-image translation using cycle-consistent adversarial networks. In: Proceedings of the IEEE International Conference on Computer Vision. pp. 2223\u20132232.","DOI":"10.1109\/ICCV.2017.244"}],"container-title":["Engineering Applications of Artificial Intelligence"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/api.elsevier.com\/content\/article\/PII:S0952197626016507?httpAccept=text\/xml","content-type":"text\/xml","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/api.elsevier.com\/content\/article\/PII:S0952197626016507?httpAccept=text\/plain","content-type":"text\/plain","content-version":"vor","intended-application":"text-mining"}],"deposited":{"date-parts":[[2026,8,4]],"date-time":"2026-08-04T14:40:23Z","timestamp":1785854423000},"score":1,"resource":{"primary":{"URL":"https:\/\/linkinghub.elsevier.com\/retrieve\/pii\/S0952197626016507"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2026,10]]},"references-count":65,"alternative-id":["S0952197626016507"],"URL":"https:\/\/doi.org\/10.1016\/j.engappai.2026.115366","relation":{},"ISSN":["0952-1976"],"issn-type":[{"value":"0952-1976","type":"print"}],"subject":[],"published":{"date-parts":[[2026,10]]},"assertion":[{"value":"Elsevier","name":"publisher","label":"This article is maintained by"},{"value":"Contrastive and distillation-assisted unpaired real-world image dehazing","name":"articletitle","label":"Article Title"},{"value":"Engineering Applications of Artificial Intelligence","name":"journaltitle","label":"Journal Title"},{"value":"https:\/\/doi.org\/10.1016\/j.engappai.2026.115366","name":"articlelink","label":"CrossRef DOI link to publisher maintained version"},{"value":"article","name":"content_type","label":"Content Type"},{"value":"\u00a9 2026 Published by Elsevier Ltd.","name":"copyright","label":"Copyright"}],"article-number":"115366"}}