{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,6,24]],"date-time":"2026-06-24T17:04:08Z","timestamp":1782320648251,"version":"3.54.5"},"reference-count":70,"publisher":"Elsevier BV","license":[{"start":{"date-parts":[[2026,12,1]],"date-time":"2026-12-01T00:00:00Z","timestamp":1796083200000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.elsevier.com\/tdm\/userlicense\/1.0\/"},{"start":{"date-parts":[[2026,12,1]],"date-time":"2026-12-01T00:00:00Z","timestamp":1796083200000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.elsevier.com\/legal\/tdmrep-license"},{"start":{"date-parts":[[2026,12,1]],"date-time":"2026-12-01T00:00:00Z","timestamp":1796083200000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-017"},{"start":{"date-parts":[[2026,12,1]],"date-time":"2026-12-01T00:00:00Z","timestamp":1796083200000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"},{"start":{"date-parts":[[2026,12,1]],"date-time":"2026-12-01T00:00:00Z","timestamp":1796083200000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-012"},{"start":{"date-parts":[[2026,12,1]],"date-time":"2026-12-01T00:00:00Z","timestamp":1796083200000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2026,12,1]],"date-time":"2026-12-01T00:00:00Z","timestamp":1796083200000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-004"}],"funder":[{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":["elsevier.com","sciencedirect.com"],"crossmark-restriction":true},"short-container-title":["Expert Systems with Applications"],"published-print":{"date-parts":[[2026,12]]},"DOI":"10.1016\/j.eswa.2026.133345","type":"journal-article","created":{"date-parts":[[2026,6,19]],"date-time":"2026-06-19T15:48:05Z","timestamp":1781884085000},"page":"133345","update-policy":"https:\/\/doi.org\/10.1016\/elsevier_cm_policy","source":"Crossref","is-referenced-by-count":0,"special_numbering":"PC","title":["Frequency domain feature enhancement network for clothing semantic segmentation"],"prefix":"10.1016","volume":"331","author":[{"ORCID":"https:\/\/orcid.org\/0000-0001-8252-5131","authenticated-orcid":false,"given":"Feng","family":"Yu","sequence":"first","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Jianhang","family":"Zhu","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"JiaoLong","family":"Wan","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Xinyan","family":"Zhang","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-7851-531X","authenticated-orcid":false,"given":"Li","family":"Liu","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-6421-8613","authenticated-orcid":false,"given":"Minghua","family":"Jiang","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"78","reference":[{"key":"10.1016\/j.eswa.2026.133345_bib0001","series-title":"EuroVis Workshop on Visual Analytics (EuroVA)","first-page":"1","article-title":"Integrating layer-wise relevance propagation with stable diffusion for enhanced interpretability","author":"Auman","year":"2025"},{"key":"10.1016\/j.eswa.2026.133345_bib0002","series-title":"2025\u202fIEEE 15th annual computing and communication workshop and conference (CCWC)","first-page":"00441","article-title":"Neural network interpretability with layer-wise relevance propagation: Novel techniques for neuron selection and visualization","author":"Bhati","year":"2025"},{"key":"10.1016\/j.eswa.2026.133345_bib0003","series-title":"Proceedings of the European conference on computer vision (ECCV)","first-page":"801","article-title":"Encoder-decoder with atrous separable convolution for semantic image segmentation","author":"Chen","year":"2018"},{"key":"10.1016\/j.eswa.2026.133345_bib0004","doi-asserted-by":"crossref","first-page":"8954","DOI":"10.1109\/TMM.2025.3618564","article-title":"Learning efficient and adaptive cross-channel dependencies for weakly-supervised object detection","volume":"27","author":"Chen","year":"2025","journal-title":"IEEE Transactions on Multimedia"},{"key":"10.1016\/j.eswa.2026.133345_bib0005","doi-asserted-by":"crossref","DOI":"10.1016\/j.patcog.2024.111218","article-title":"Cross-level interaction fusion network-based RGB-t semantic segmentation for distant targets","volume":"161","author":"Chen","year":"2025","journal-title":"Pattern Recognition"},{"key":"10.1016\/j.eswa.2026.133345_bib0006","series-title":"Proceedings of the IEEE\/CVF conference on computer vision and pattern recognition","first-page":"1290","article-title":"Masked-attention mask transformer for universal image segmentation","author":"Cheng","year":"2022"},{"issue":"4","key":"10.1016\/j.eswa.2026.133345_bib0007","doi-asserted-by":"crossref","first-page":"1","DOI":"10.1145\/3447239","article-title":"Fashion meets computer vision: A survey","volume":"54","author":"Cheng","year":"2021","journal-title":"ACM Computing Surveys (CSUR)"},{"issue":"7","key":"10.1016\/j.eswa.2026.133345_bib0008","doi-asserted-by":"crossref","first-page":"909","DOI":"10.1002\/cpa.3160410705","article-title":"Orthonormal bases of compactly supported wavelets","volume":"41","author":"Daubechies","year":"1988","journal-title":"Communications on Pure and Applied Mathematics"},{"key":"10.1016\/j.eswa.2026.133345_bib0009","first-page":"1","article-title":"Ten lectures on wavelets","volume":"61","author":"Daubechies","year":"1992","journal-title":"CBMS-NSF Regional Conference Series in Applied Mathematics"},{"key":"10.1016\/j.eswa.2026.133345_bib0010","doi-asserted-by":"crossref","first-page":"187882","DOI":"10.1109\/ACCESS.2020.3030859","article-title":"Epynet: Efficient pyramidal network for clothing segmentation","volume":"8","author":"De Souza","year":"2020","journal-title":"IEEE Access"},{"issue":"4","key":"10.1016\/j.eswa.2026.133345_bib0011","doi-asserted-by":"crossref","first-page":"1","DOI":"10.1145\/3624733","article-title":"A review of modern fashion recommender systems","volume":"56","author":"Deldjoo","year":"2023","journal-title":"ACM Computing Surveys"},{"key":"10.1016\/j.eswa.2026.133345_bib0012","series-title":"Proceedings of the AAAI conference on artificial intelligence","first-page":"516","article-title":"Head-free lightweight semantic segmentation with linear transformer","volume":"37","author":"Dong","year":"2023"},{"key":"10.1016\/j.eswa.2026.133345_bib0013","doi-asserted-by":"crossref","first-page":"777","DOI":"10.1109\/TMM.2022.3152367","article-title":"Vton-scfa: A virtual try-on network based on the semantic constraints and flow alignment","volume":"25","author":"Du","year":"2022","journal-title":"IEEE Transactions on Multimedia"},{"key":"10.1016\/j.eswa.2026.133345_bib0014","series-title":"2024 1st international conference on innovative engineering sciences and technological research (ICIESTR)","first-page":"1","article-title":"Understanding the architecture of vision transformer and its variants: A review","author":"Fnu","year":"2024"},{"key":"10.1016\/j.eswa.2026.133345_bib0015","doi-asserted-by":"crossref","first-page":"5620016","DOI":"10.1109\/TGRS.2026.3687072","article-title":"HyperR3SNet: Leveraging hyperbolic space and vision foundation models for remote sensing semantic segmentation","volume":"64","author":"Fu","year":"2026","journal-title":"IEEE Transactions on Geoscience and Remote Sensing"},{"key":"10.1016\/j.eswa.2026.133345_bib0016","series-title":"Proceedings of the IEEE\/CVF conference on computer vision and pattern recognition","first-page":"5337","article-title":"Deepfashion2: A versatile benchmark for detection, pose estimation, segmentation and re-identification of clothing images","author":"Ge","year":"2019"},{"key":"10.1016\/j.eswa.2026.133345_bib0017","series-title":"Proceedings of the European conference on computer vision (ECCV)","first-page":"770","article-title":"Instance-level human parsing via part grouping network","author":"Gong","year":"2018"},{"key":"10.1016\/j.eswa.2026.133345_bib0018","doi-asserted-by":"crossref","first-page":"1140","DOI":"10.52202\/068431-0084","article-title":"Segnext: Rethinking convolutional attention design for semantic segmentation","volume":"35","author":"Guo","year":"2022","journal-title":"Advances in Neural Information Processing Systems"},{"key":"10.1016\/j.eswa.2026.133345_bib0019","series-title":"Proceedings of the IEEE\/CVF conference on computer vision and pattern recognition","first-page":"16000","article-title":"Masked autoencoders are scalable vision learners","author":"He","year":"2022"},{"key":"10.1016\/j.eswa.2026.133345_bib0020","doi-asserted-by":"crossref","first-page":"2245","DOI":"10.1007\/s11063-019-10173-y","article-title":"Superpixels features extractor network (SP-FEN) for clothing parsing enhancement","volume":"51","author":"Ihsan","year":"2020","journal-title":"Neural Processing Letters"},{"key":"10.1016\/j.eswa.2026.133345_bib0021","doi-asserted-by":"crossref","DOI":"10.1016\/j.compbiomed.2023.106734","article-title":"An efficient and robust phonocardiography (PCG)-based valvular heart diseases (VHD) detection framework using vision transformer (VIT)","volume":"158","author":"Jamil","year":"2023","journal-title":"Computers in Biology and Medicine"},{"key":"10.1016\/j.eswa.2026.133345_bib0022","doi-asserted-by":"crossref","first-page":"4227","DOI":"10.1109\/TIP.2022.3183469","article-title":"Complementary data augmentation for cloth-changing person re-identification","volume":"31","author":"Jia","year":"2022","journal-title":"IEEE Transactions on Image Processing"},{"key":"10.1016\/j.eswa.2026.133345_bib0023","series-title":"Proceedings of the 31st ACM international conference on multimedia","first-page":"7065","article-title":"Dawn: Direction-aware attention wavelet network for image deraining","author":"Jiang","year":"2023"},{"issue":"5","key":"10.1016\/j.eswa.2026.133345_bib0024","doi-asserted-by":"crossref","first-page":"8619","DOI":"10.1109\/TNNLS.2024.3426529","article-title":"High-precision dichotomous image segmentation with frequency and scale awareness","volume":"36","author":"Jiang","year":"2024","journal-title":"IEEE Transactions on Neural Networks and Learning Systems"},{"key":"10.1016\/j.eswa.2026.133345_bib0025","unstructured":"Li, H., Xiong, P., An, J., & Wang, L. (2018). Pyramid attention network for semantic segmentation. arXiv: 1805.10180."},{"key":"10.1016\/j.eswa.2026.133345_bib0026","first-page":"1","article-title":"A synergistical attention model for semantic segmentation of remote sensing images","volume":"61","author":"Li","year":"2023","journal-title":"IEEE Transactions on Geoscience and Remote Sensing"},{"issue":"4","key":"10.1016\/j.eswa.2026.133345_bib0027","doi-asserted-by":"crossref","first-page":"871","DOI":"10.1109\/TPAMI.2018.2820063","article-title":"Look into person: Joint body parsing & pose estimation network and a new benchmark","volume":"41","author":"Liang","year":"2018","journal-title":"IEEE Transactions on Pattern Analysis and Machine Intelligence"},{"issue":"12","key":"10.1016\/j.eswa.2026.133345_bib0028","doi-asserted-by":"crossref","first-page":"2402","DOI":"10.1109\/TPAMI.2015.2408360","article-title":"Deep human parsing with active template regression","volume":"37","author":"Liang","year":"2015","journal-title":"IEEE Transactions on Pattern Analysis and Machine Intelligence"},{"issue":"1","key":"10.1016\/j.eswa.2026.133345_bib0029","doi-asserted-by":"crossref","first-page":"253","DOI":"10.1109\/TMM.2013.2285526","article-title":"Fashion parsing with weak color-category labels","volume":"16","author":"Liu","year":"2013","journal-title":"IEEE Transactions on Multimedia"},{"key":"10.1016\/j.eswa.2026.133345_bib0030","series-title":"Proceedings of the AAAI conference on artificial intelligence","first-page":"7146","article-title":"Cross-domain human parsing via adversarial feature and label adaptation","volume":"32","author":"Liu","year":"2018"},{"key":"10.1016\/j.eswa.2026.133345_bib0031","series-title":"Proceedings of the AAAI conference on artificial intelligence","first-page":"1719","article-title":"Reducing domain gap in frequency and spatial domain for cross-modality domain adaptation on medical image segmentation","volume":"37","author":"Liu","year":"2023"},{"issue":"2","key":"10.1016\/j.eswa.2026.133345_bib0032","doi-asserted-by":"crossref","first-page":"51","DOI":"10.71451\/ISTAER2615","article-title":"Research on transformer-based action sequence modeling of intangible cultural heritage shadow play using attention mechanisms","volume":"4","author":"Liu","year":"2026","journal-title":"International Scientific Technical and Economic Research"},{"key":"10.1016\/j.eswa.2026.133345_bib0033","series-title":"Proceedings of the IEEE\/CVF international conference on computer vision","first-page":"10012","article-title":"Swin transformer: Hierarchical vision transformer using shifted windows","author":"Liu","year":"2021"},{"key":"10.1016\/j.eswa.2026.133345_bib0034","first-page":"1","article-title":"Difficulty-aware pseudo-label correction network for fine-grained classification of choroidal neovascularization in OCT images","author":"Meng","year":"2026","journal-title":"IEEE Transactions on Multimedia"},{"key":"10.1016\/j.eswa.2026.133345_bib0035","doi-asserted-by":"crossref","DOI":"10.1016\/j.aei.2023.102007","article-title":"DenseSPH-YOLOv5: An automated damage detection model based on densenet and swin-transformer prediction head-enabled YOLOv5 with attention mechanism","volume":"56","author":"Roy","year":"2023","journal-title":"Advanced Engineering Informatics"},{"issue":"4","key":"10.1016\/j.eswa.2026.133345_bib0036","doi-asserted-by":"crossref","DOI":"10.1016\/j.ipm.2026.104618","article-title":"Grain: Gravity-resistance adaptive framework for identifying influential nodes using multi-order structural diversity","volume":"63","author":"Ruan","year":"2026","journal-title":"Information Processing & Management"},{"key":"10.1016\/j.eswa.2026.133345_bib0037","doi-asserted-by":"crossref","unstructured":"Shen, Q., & Zhang, J. (2026). Mftformer: Meteorological-frequency-temporal transformer with block-aligned fusion for traffic flow prediction. In 2026 9th International Symposium on Big Data and Applied Statistics (ISBDAS), 248\u2013251.","DOI":"10.1109\/ISBDAS69350.2026.11484097"},{"key":"10.1016\/j.eswa.2026.133345_bib0038","series-title":"Proceedings of the IEEE\/CVF conference on computer vision and pattern recognition","first-page":"3534","article-title":"Detr-based layered clothing segmentation and fine-grained attribute recognition","author":"Tian","year":"2023"},{"key":"10.1016\/j.eswa.2026.133345_bib0039","unstructured":"Vaswani, A., Shazeer, N., Parmar, N., Uszkoreit, J., Jones, L., Gomez, A. N., Kaiser, \u0141., & Polosukhin, I. (2017). Attention is all you need. arXiv: 1706.03762."},{"key":"10.1016\/j.eswa.2026.133345_bib0040","article-title":"Softpatch+: Fully unsupervised anomaly classification and segmentation","author":"Wang","year":"2024","journal-title":"Pattern Recognition"},{"key":"10.1016\/j.eswa.2026.133345_bib0041","article-title":"Softpatch+: Fully unsupervised anomaly classification and segmentation","volume":"161","author":"Wang","year":"2024","journal-title":"Pattern Recognition"},{"key":"10.1016\/j.eswa.2026.133345_bib0042","doi-asserted-by":"crossref","DOI":"10.1016\/j.ymssp.2026.113998","article-title":"Physics-informed neural networks based digital volume correlation for displacement and strain measurements","volume":"248","author":"Wang","year":"2026","journal-title":"Mechanical Systems and Signal Processing"},{"key":"10.1016\/j.eswa.2026.133345_bib0043","series-title":"Proceedings of the IEEE\/CVF conference on computer vision and pattern recognition","first-page":"5493","article-title":"Vit-comer: Vision transformer with convolutional multi-scale feature interaction for dense predictions","author":"Xia","year":"2024"},{"key":"10.1016\/j.eswa.2026.133345_bib0044","first-page":"12077","article-title":"Segformer: Simple and efficient design for semantic segmentation with transformers","volume":"34","author":"Xie","year":"2021","journal-title":"Advances in Neural Information Processing Systems"},{"key":"10.1016\/j.eswa.2026.133345_bib0045","series-title":"Proceedings of the IEEE\/CVF conference on computer vision and pattern recognition","first-page":"19529","article-title":"Pidnet: A real-time semantic segmentation network inspired by pid controllers","author":"Xu","year":"2023"},{"key":"10.1016\/j.eswa.2026.133345_bib0046","series-title":"Proceedings of the IEEE\/CVF conference on computer vision and pattern recognition","first-page":"1740","article-title":"Learning in the frequency domain","author":"Xu","year":"2020"},{"key":"10.1016\/j.eswa.2026.133345_bib0047","series-title":"Proceedings of the IEEE\/CVF conference on computer vision and pattern recognition","first-page":"2945","article-title":"Side adapter network for open-vocabulary semantic segmentation","author":"Xu","year":"2023"},{"key":"10.1016\/j.eswa.2026.133345_bib0048","series-title":"Proceedings of the AAAI conference on artificial intelligence","first-page":"6378","article-title":"Sctnet: Single-branch cnn with transformer semantic information for real-time segmentation","volume":"38","author":"Xu","year":"2024"},{"key":"10.1016\/j.eswa.2026.133345_bib0049","series-title":"Proceedings of the IEEE\/CVF conference on computer vision and pattern recognition","first-page":"25367","article-title":"Golden cudgel network for real-time semantic segmentation","author":"Yang","year":"2025"},{"key":"10.1016\/j.eswa.2026.133345_bib0050","first-page":"1","article-title":"Deep learning technique for human parsing: A survey and outlook","author":"Yang","year":"2024","journal-title":"International Journal of Computer Vision"},{"issue":"7","key":"10.1016\/j.eswa.2026.133345_bib0051","doi-asserted-by":"crossref","first-page":"6377","DOI":"10.1109\/JIOT.2022.3224947","article-title":"Smart clothing system with multiple sensors based on digital twin technology","volume":"10","author":"Yu","year":"2022","journal-title":"IEEE Internet of Things Journal"},{"issue":"4","key":"10.1016\/j.eswa.2026.133345_bib0052","doi-asserted-by":"crossref","first-page":"1101","DOI":"10.1109\/TCE.2023.3306206","article-title":"Vton-mp: Multi-pose virtual try-on via appearance flow and feature filtering","volume":"69","author":"Yu","year":"2023","journal-title":"IEEE Transactions on Consumer Electronics"},{"issue":"15","key":"10.1016\/j.eswa.2026.133345_bib0053","doi-asserted-by":"crossref","first-page":"26314","DOI":"10.1109\/JIOT.2024.3394244","article-title":"Intelligent wearable system with motion and emotion recognition based on digital twin technology","volume":"11","author":"Yu","year":"2024","journal-title":"IEEE Internet of Things Journal"},{"issue":"1","key":"10.1016\/j.eswa.2026.133345_bib0054","doi-asserted-by":"crossref","first-page":"2784","DOI":"10.1109\/TCE.2024.3377377","article-title":"Phase contour enhancement network for clothing parsing","volume":"70","author":"Yu","year":"2024","journal-title":"IEEE Transactions on Consumer Electronics"},{"issue":"2","key":"10.1016\/j.eswa.2026.133345_bib0055","doi-asserted-by":"crossref","first-page":"361","DOI":"10.3390\/rs15020361","article-title":"Mcafnet: A multiscale channel attention fusion network for semantic segmentation of remote sensing images","volume":"15","author":"Yuan","year":"2023","journal-title":"Remote Sensing"},{"key":"10.1016\/j.eswa.2026.133345_bib0056","series-title":"Computer vision\u2013ECCV 2020: 16th European conference","first-page":"173","article-title":"Object-contextual representations for semantic segmentation","author":"Yuan","year":"2020"},{"key":"10.1016\/j.eswa.2026.133345_bib0057","doi-asserted-by":"crossref","DOI":"10.1016\/j.patcog.2022.108594","article-title":"Unabridged adjacent modulation for clothing parsing","volume":"127","author":"Zhang","year":"2022","journal-title":"Pattern Recognition"},{"key":"10.1016\/j.eswa.2026.133345_bib0058","series-title":"Proceedings of the IEEE\/CVF conference on computer vision and pattern recognition","first-page":"18074","article-title":"Mp-former: Mask-piloted transformer for image segmentation","author":"Zhang","year":"2023"},{"issue":"2","key":"10.1016\/j.eswa.2026.133345_bib0059","doi-asserted-by":"crossref","first-page":"78","DOI":"10.71451\/ISTAER2616","article-title":"Research on image representation learning method based on self-supervised learning","volume":"4","author":"Zhang","year":"2026","journal-title":"International Scientific Technical and Economic Research"},{"key":"10.1016\/j.eswa.2026.133345_bib0060","first-page":"1","article-title":"Toward robust and efficient musculoskeletal modeling using distributed physics-informed deep learning","volume":"72","author":"Zhang","year":"2023","journal-title":"IEEE Transactions on Instrumentation and Measurement"},{"key":"10.1016\/j.eswa.2026.133345_bib0061","first-page":"1","article-title":"Boosting personalized musculoskeletal modeling with physics-informed knowledge transfer","volume":"72","author":"Zhang","year":"2023","journal-title":"IEEE Transactions on Instrumentation and Measurement"},{"issue":"2","key":"10.1016\/j.eswa.2026.133345_bib0062","doi-asserted-by":"crossref","first-page":"124","DOI":"10.71451\/ISTAER2618","article-title":"Research on multimodal prediction model of sports event ticket revenue based on transformer","volume":"4","author":"Zhang","year":"2026","journal-title":"International Scientific Technical and Economic Research"},{"key":"10.1016\/j.eswa.2026.133345_bib0063","series-title":"Proceedings of the IEEE\/CVF international conference on computer vision (ICCV)","first-page":"22361","article-title":"Revisiting efficient semantic segmentation: Learning offsets for better spatial and class feature alignment","author":"Zhang","year":"2025"},{"key":"10.1016\/j.eswa.2026.133345_bib0064","doi-asserted-by":"crossref","first-page":"107843","DOI":"10.1109\/ACCESS.2023.3320270","article-title":"Image multi-feature fusion for clothing style classification","volume":"11","author":"Zhang","year":"2023","journal-title":"IEEE Access"},{"key":"10.1016\/j.eswa.2026.133345_bib0065","series-title":"Proceedings of the IEEE conference on computer vision and pattern recognition","first-page":"2881","article-title":"Pyramid scene parsing network","author":"Zhao","year":"2017"},{"key":"10.1016\/j.eswa.2026.133345_bib0066","series-title":"Proceedings of the AAAI conference on artificial intelligence","first-page":"3724","article-title":"Refined semantic enhancement towards frequency diffusion for video captioning","volume":"37","author":"Zhong","year":"2023"},{"key":"10.1016\/j.eswa.2026.133345_bib0067","series-title":"IJCAI","first-page":"1743","article-title":"Rainy WCity: A real rainfall dataset with diverse conditions for semantic driving scene understanding","author":"Zhong","year":"2022"},{"key":"10.1016\/j.eswa.2026.133345_bib0068","series-title":"Proceedings of the IEEE\/CVF international conference on computer vision","first-page":"21085","article-title":"Xnet: Wavelet-based low and high frequency fusion networks for fully-and semi-supervised semantic segmentation of biomedical images","author":"Zhou","year":"2023"},{"key":"10.1016\/j.eswa.2026.133345_bib0069","series-title":"Proceedings of the IEEE\/CVF conference on computer vision and pattern recognition","first-page":"15116","article-title":"Generalized decoding for pixel, image, and language","author":"Zou","year":"2023"},{"issue":"1","key":"10.1016\/j.eswa.2026.133345_bib0070","doi-asserted-by":"crossref","first-page":"1","DOI":"10.1145\/3776560","article-title":"Autonomous domain adaptation self-optimization approach for cross-domain industrial agents","volume":"17","author":"Zuo","year":"2026","journal-title":"ACM Transactions on Intelligent Systems and Technology"}],"container-title":["Expert Systems with Applications"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/api.elsevier.com\/content\/article\/PII:S0957417426022542?httpAccept=text\/xml","content-type":"text\/xml","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/api.elsevier.com\/content\/article\/PII:S0957417426022542?httpAccept=text\/plain","content-type":"text\/plain","content-version":"vor","intended-application":"text-mining"}],"deposited":{"date-parts":[[2026,6,24]],"date-time":"2026-06-24T16:22:38Z","timestamp":1782318158000},"score":1,"resource":{"primary":{"URL":"https:\/\/linkinghub.elsevier.com\/retrieve\/pii\/S0957417426022542"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2026,12]]},"references-count":70,"alternative-id":["S0957417426022542"],"URL":"https:\/\/doi.org\/10.1016\/j.eswa.2026.133345","relation":{},"ISSN":["0957-4174"],"issn-type":[{"value":"0957-4174","type":"print"}],"subject":[],"published":{"date-parts":[[2026,12]]},"assertion":[{"value":"Elsevier","name":"publisher","label":"This article is maintained by"},{"value":"Frequency domain feature enhancement network for clothing semantic segmentation","name":"articletitle","label":"Article Title"},{"value":"Expert Systems with Applications","name":"journaltitle","label":"Journal Title"},{"value":"https:\/\/doi.org\/10.1016\/j.eswa.2026.133345","name":"articlelink","label":"CrossRef DOI link to publisher maintained version"},{"value":"article","name":"content_type","label":"Content Type"},{"value":"\u00a9 2026 Elsevier Ltd. All rights are reserved, including those for text and data mining, AI training, and similar technologies.","name":"copyright","label":"Copyright"}],"article-number":"133345"}}