{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,4,14]],"date-time":"2026-04-14T00:53:42Z","timestamp":1776128022233,"version":"3.50.1"},"reference-count":67,"publisher":"Elsevier BV","license":[{"start":{"date-parts":[[2026,5,1]],"date-time":"2026-05-01T00:00:00Z","timestamp":1777593600000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.elsevier.com\/tdm\/userlicense\/1.0\/"},{"start":{"date-parts":[[2026,5,1]],"date-time":"2026-05-01T00:00:00Z","timestamp":1777593600000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.elsevier.com\/legal\/tdmrep-license"},{"start":{"date-parts":[[2026,5,1]],"date-time":"2026-05-01T00:00:00Z","timestamp":1777593600000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-017"},{"start":{"date-parts":[[2026,5,1]],"date-time":"2026-05-01T00:00:00Z","timestamp":1777593600000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"},{"start":{"date-parts":[[2026,5,1]],"date-time":"2026-05-01T00:00:00Z","timestamp":1777593600000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-012"},{"start":{"date-parts":[[2026,5,1]],"date-time":"2026-05-01T00:00:00Z","timestamp":1777593600000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2026,5,1]],"date-time":"2026-05-01T00:00:00Z","timestamp":1777593600000},"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","award":["62506283"],"award-info":[{"award-number":["62506283"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["62431020"],"award-info":[{"award-number":["62431020"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["U22B2054"],"award-info":[{"award-number":["U22B2054"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":["elsevier.com","sciencedirect.com"],"crossmark-restriction":true},"short-container-title":["Knowledge-Based Systems"],"published-print":{"date-parts":[[2026,5]]},"DOI":"10.1016\/j.knosys.2026.115653","type":"journal-article","created":{"date-parts":[[2026,3,10]],"date-time":"2026-03-10T16:49:11Z","timestamp":1773161351000},"page":"115653","update-policy":"https:\/\/doi.org\/10.1016\/elsevier_cm_policy","source":"Crossref","is-referenced-by-count":0,"special_numbering":"C","title":["Contrastive perception representation learning for image inpainting"],"prefix":"10.1016","volume":"340","author":[{"ORCID":"https:\/\/orcid.org\/0009-0002-7648-1501","authenticated-orcid":false,"given":"Jialu","family":"Liu","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-0415-8556","authenticated-orcid":false,"given":"Maoguo","family":"Gong","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-1524-1363","authenticated-orcid":false,"given":"Jianzhao","family":"Li","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-3354-9617","authenticated-orcid":false,"given":"Licheng","family":"Jiao","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-8780-5455","authenticated-orcid":false,"given":"Xu","family":"Liu","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Fang","family":"Liu","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"78","reference":[{"key":"10.1016\/j.knosys.2026.115653_bib0001","series-title":"Proceedings of the IEEE\/CVF Conference on Computer Vision and Pattern Recognition","first-page":"18359","article-title":"Imagen editor and editbench: advancing and evaluating text-guided image inpainting","author":"Wang","year":"2023"},{"key":"10.1016\/j.knosys.2026.115653_bib0002","series-title":"International Conference on Contemporary Computing and Informatics","first-page":"944","article-title":"Image matting using objective decomposition and cascading residual network","volume":"7","author":"Saini","year":"2024"},{"key":"10.1016\/j.knosys.2026.115653_bib0003","doi-asserted-by":"crossref","DOI":"10.1016\/j.knosys.2025.113188","article-title":"Frequency-domain information guidance: diffusion models for the inpainting of dunhuang murals","volume":"314","author":"Ding","year":"2025","journal-title":"Knowl. Based Syst."},{"key":"10.1016\/j.knosys.2026.115653_bib0004","series-title":"Journal of Physics: Conference Series","first-page":"012012","article-title":"Object detection using deep learning: a review","volume":"1854","author":"Arya","year":"2021"},{"key":"10.1016\/j.knosys.2026.115653_bib0005","series-title":"International Conference on Intelligent Control, Computing and Communications","first-page":"452","article-title":"Deep learning-based object recognition in AR-VR environment","author":"Sharma","year":"2025"},{"issue":"4","key":"10.1016\/j.knosys.2026.115653_bib0006","doi-asserted-by":"crossref","first-page":"436","DOI":"10.1006\/jvci.2001.0487","article-title":"Nontexture inpainting by curvature-driven diffusions","volume":"12","author":"Chan","year":"2001","journal-title":"J. Vis. Commun. Image Represent."},{"issue":"3","key":"10.1016\/j.knosys.2026.115653_bib0007","doi-asserted-by":"crossref","first-page":"1019","DOI":"10.1137\/S0036139900368844","article-title":"Mathematical models for local nontexture inpaintings","volume":"62","author":"Shen","year":"2002","journal-title":"SIAM J. Appl. Math."},{"issue":"9","key":"10.1016\/j.knosys.2026.115653_bib0008","doi-asserted-by":"crossref","first-page":"1200","DOI":"10.1109\/TIP.2004.833105","article-title":"Region filling and object removal by exemplar-based image inpainting","volume":"13","author":"Criminisi","year":"2004","journal-title":"IEEE Trans. Image Process."},{"issue":"3","key":"10.1016\/j.knosys.2026.115653_bib0009","doi-asserted-by":"crossref","first-page":"24:1","DOI":"10.1145\/1531326.1531330","article-title":"PatchMatch: a randomized correspondence algorithm for structural image editing","volume":"28","author":"Barnes","year":"2009","journal-title":"ACM Trans. Graph."},{"issue":"5","key":"10.1016\/j.knosys.2026.115653_bib0010","doi-asserted-by":"crossref","first-page":"953","DOI":"10.1109\/JSTSP.2011.2138676","article-title":"Image recovery via hybrid sparse representations: a deterministic annealing approach","volume":"5","author":"Li","year":"2011","journal-title":"IEEE J. Sel. Top. Signal Process."},{"issue":"2","key":"10.1016\/j.knosys.2026.115653_bib0011","doi-asserted-by":"crossref","first-page":"782","DOI":"10.1109\/TIP.2016.2623481","article-title":"Sparsity-based image error concealment via adaptive dual dictionary learning and regularization","volume":"26","author":"Liu","year":"2017","journal-title":"IEEE Trans. Image Process."},{"key":"10.1016\/j.knosys.2026.115653_bib0012","doi-asserted-by":"crossref","DOI":"10.1016\/j.bspc.2019.101754","article-title":"CT Image denoising using multivariate model and its method noise thresholding in non-subsampled shearlet domain","volume":"57","author":"Diwakar","year":"2020","journal-title":"Biomed. Signal Process. Control"},{"key":"10.1016\/j.knosys.2026.115653_bib0013","doi-asserted-by":"crossref","DOI":"10.1016\/j.bspc.2024.106072","article-title":"Edge-guided filtering based CT image denoising using fractional order total variation","volume":"92","author":"Diwakar","year":"2024","journal-title":"Biomed. Signal Process. Contr."},{"key":"10.1016\/j.knosys.2026.115653_bib0014","series-title":"Proceedings of the European Conference on Computer Vision","first-page":"85","article-title":"Image inpainting for irregular holes using partial convolutions","author":"Liu","year":"2018"},{"key":"10.1016\/j.knosys.2026.115653_bib0015","series-title":"Proceedings of the IEEE\/CVF Conference on Computer Vision and Pattern Recognition","first-page":"5505","article-title":"Generative image inpainting with contextual attention","author":"Yu","year":"2018"},{"key":"10.1016\/j.knosys.2026.115653_bib0016","series-title":"Proceedings of the IEEE\/CVF International Conference on Computer Vision","first-page":"4471","article-title":"Free-form image inpainting with gated convolution","author":"Yu","year":"2019"},{"key":"10.1016\/j.knosys.2026.115653_bib0017","doi-asserted-by":"crossref","first-page":"1784","DOI":"10.1109\/TIP.2020.3048629","article-title":"Dynamic selection network for image inpainting","volume":"30","author":"Wang","year":"2021","journal-title":"IEEE Trans. Image Process."},{"issue":"10","key":"10.1016\/j.knosys.2026.115653_bib0018","doi-asserted-by":"crossref","first-page":"6599","DOI":"10.1109\/TCSVT.2022.3175171","article-title":"Deep image inpainting with enhanced normalization and contextual attention","volume":"32","author":"Liu","year":"2022","journal-title":"IEEE Trans. Circuits Syst. Video Technol."},{"issue":"7","key":"10.1016\/j.knosys.2026.115653_bib0019","doi-asserted-by":"crossref","first-page":"3266","DOI":"10.1109\/TVCG.2022.3156949","article-title":"Aggregated contextual transformations for high-resolution image inpainting","volume":"29","author":"Zeng","year":"2022","journal-title":"IEEE Trans. Vis. Comput. Graph."},{"issue":"9","key":"10.1016\/j.knosys.2026.115653_bib0020","doi-asserted-by":"crossref","first-page":"5975","DOI":"10.1109\/TCSVT.2022.3165587","article-title":"Dual-pyramidal image inpainting with dynamic normalization","volume":"32","author":"Wang","year":"2022","journal-title":"IEEE Trans. Circuits Syst. Video Technol."},{"key":"10.1016\/j.knosys.2026.115653_bib0021","series-title":"Proceedings of the ACM International Conference on Multimedia","first-page":"6559","article-title":"T-Former: an efficient transformer for image inpainting","author":"Deng","year":"2022"},{"key":"10.1016\/j.knosys.2026.115653_bib0022","series-title":"Proceedings of the IEEE\/CVF Conference on Computer Vision and Pattern Recognition","first-page":"17683","article-title":"Uformer: a general u-shaped transformer for image restoration","author":"Wang","year":"2022"},{"key":"10.1016\/j.knosys.2026.115653_bib0023","series-title":"Proceedings of the IEEE\/CVF International Conference on Computer Vision","first-page":"13169","article-title":"Continuously masked transformer for image inpainting","author":"Ko","year":"2023"},{"key":"10.1016\/j.knosys.2026.115653_bib0024","doi-asserted-by":"crossref","DOI":"10.1016\/j.patcog.2023.109897","article-title":"Sparse self-attention transformer for image inpainting","volume":"145","author":"Huang","year":"2024","journal-title":"Pattern Recognit."},{"key":"10.1016\/j.knosys.2026.115653_bib0025","doi-asserted-by":"crossref","first-page":"7649","DOI":"10.1109\/TMM.2024.3369897","article-title":"HINT: High-quality inpainting transformer with mask-aware encoding and enhanced attention","volume":"26","author":"Chen","year":"2024","journal-title":"IEEE Trans. Multimedia"},{"key":"10.1016\/j.knosys.2026.115653_bib0026","series-title":"Proceedings of the IEEE\/CVF Conference on Computer Vision and Pattern Recognition","first-page":"10758","article-title":"MAT: Mask-aware transformer for large hole image inpainting","author":"Li","year":"2022"},{"key":"10.1016\/j.knosys.2026.115653_bib0027","series-title":"Proceedings of the IEEE\/CVF Conference on Computer Vision and Pattern Recognition","first-page":"11358","article-title":"Incremental transformer structure enhanced image inpainting with masking positional encoding","author":"Dong","year":"2022"},{"key":"10.1016\/j.knosys.2026.115653_bib0028","series-title":"Proceedings of the IEEE\/CVF Conference on Computer Vision and Pattern Recognition","first-page":"11512","article-title":"Bridging global context interactions for high-fidelity image completion","author":"Zheng","year":"2022"},{"key":"10.1016\/j.knosys.2026.115653_bib0029","series-title":"Proceedings of the European Conference on Computer Vision","first-page":"306","article-title":"Learning prior feature and attention enhanced image inpainting","author":"Cao","year":"2022"},{"key":"10.1016\/j.knosys.2026.115653_bib0030","doi-asserted-by":"crossref","DOI":"10.1016\/j.knosys.2024.112046","article-title":"Bidirectional interaction of CNN and transformer for image inpainting","volume":"299","author":"Liu","year":"2024","journal-title":"Knowl. Based Syst."},{"key":"10.1016\/j.knosys.2026.115653_bib0031","doi-asserted-by":"crossref","DOI":"10.1016\/j.knosys.2025.113385","article-title":"Serialized attention and masked residual network structure for free-form image inpainting","volume":"316","author":"Tang","year":"2025","journal-title":"Knowl. Based Syst."},{"key":"10.1016\/j.knosys.2026.115653_bib0032","unstructured":"A. Radford, L. Metz, S. Chintala, Unsupervised representation learning with deep convolutional generative adversarial networks,(2015). arXiv preprint arXiv: 1511.06434."},{"key":"10.1016\/j.knosys.2026.115653_bib0033","series-title":"Proceedings of the IEEE\/CVF International Conference on Computer Vision","first-page":"2414","article-title":"Image style transfer using convolutional neural networks","author":"Gatys","year":"2016"},{"key":"10.1016\/j.knosys.2026.115653_bib0034","series-title":"Proceedings of the European Conference on Computer Vision","first-page":"694","article-title":"Perceptual losses for real-time style transfer and super-resolution","author":"Johnson","year":"2016"},{"key":"10.1016\/j.knosys.2026.115653_bib0035","series-title":"Proceedings of the IEEE\/CVF Conference on Computer Vision and Pattern Recognition","first-page":"9729","article-title":"Momentum contrast for unsupervised visual representation learning","author":"He","year":"2020"},{"key":"10.1016\/j.knosys.2026.115653_bib0036","unstructured":"X. Chen, H. Fan, R. Girshick, K. He, Improved baselines with momentum contrastive learning, (2020). arXiv preprint arXiv: 2003.04297."},{"key":"10.1016\/j.knosys.2026.115653_bib0037","series-title":"Proceedings of the IEEE\/CVF Conference on Computer Vision and Pattern Recognition","first-page":"15750","article-title":"Exploring simple siamese representation learning","author":"Chen","year":"2021"},{"key":"10.1016\/j.knosys.2026.115653_bib0038","doi-asserted-by":"crossref","DOI":"10.1016\/j.patcog.2021.108465","article-title":"Contrastive attention network with dense field estimation for face completion","volume":"124","author":"Ma","year":"2022","journal-title":"Pattern Recognit."},{"key":"10.1016\/j.knosys.2026.115653_bib0039","doi-asserted-by":"crossref","first-page":"1","DOI":"10.1016\/j.neucom.2023.03.014","article-title":"Contrastive structure and texture fusion for image inpainting","volume":"536","author":"Chen","year":"2023","journal-title":"Neurocomputing"},{"key":"10.1016\/j.knosys.2026.115653_bib0040","series-title":"Proceedings of the AAAI Conference on Artificial Intelligence","first-page":"3888","article-title":"Generative image inpainting with segmentation confusion adversarial training and contrastive learning","author":"Zuo","year":"2023"},{"key":"10.1016\/j.knosys.2026.115653_bib0041","series-title":"Proceedings of the IEEE\/CVF Conference on Computer Vision and Pattern Recognition","first-page":"10551","article-title":"Contrastive learning for compact single image dehazing","author":"Wu","year":"2021"},{"key":"10.1016\/j.knosys.2026.115653_bib0042","doi-asserted-by":"crossref","DOI":"10.1016\/j.patcog.2023.109956","article-title":"Restoring vision in hazy weather with hierarchical contrastive learning","volume":"145","author":"Wang","year":"2024","journal-title":"Pattern Recognit."},{"key":"10.1016\/j.knosys.2026.115653_bib0043","series-title":"Proceedings of the AAAI Conference on Artificial Intelligence","first-page":"5976","article-title":"Learning from history: task-agnostic model contrastive learning for image restoration","author":"Wu","year":"2024"},{"key":"10.1016\/j.knosys.2026.115653_bib0044","series-title":"International Conference on Learning Representations","article-title":"Masked image modeling with denoising contrast","author":"Yi","year":"2023"},{"key":"10.1016\/j.knosys.2026.115653_bib0045","series-title":"Proceedings of the IEEE\/CVF Conference on Computer Vision and Pattern Recognition","first-page":"3024","article-title":"Dense contrastive learning for self-supervised visual pre-training","author":"Wang","year":"2021"},{"key":"10.1016\/j.knosys.2026.115653_bib0046","series-title":"International Conference on Learning Representations","article-title":"Imagenet-trained CNNs are biased towards texture; increasing shape bias improves accuracy and robustness","author":"Geirhos","year":"2019"},{"key":"10.1016\/j.knosys.2026.115653_bib0047","unstructured":"Z. Xie, Y. Lin, Z. Yao, Z. Zhang, Q. Dai, Y. Cao, H. Hu, Self-supervised learning with swin transformers,(2021). arXiv preprint arXiv: 2105.04553."},{"key":"10.1016\/j.knosys.2026.115653_bib0048","series-title":"Proceedings of the International Joint Conference on Artificial Intelligence","first-page":"1122","article-title":"Towards compact single image super-resolution via contrastive self-distillation","author":"Wang","year":"2021"},{"key":"10.1016\/j.knosys.2026.115653_bib0049","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.knosys.2026.115653_bib0050","series-title":"Proceedings of the IEEE\/CVF Conference on Computer Vision and Pattern Recognition","first-page":"5728","article-title":"Restormer: efficient transformer for high-resolution image restoration","author":"Zamir","year":"2022"},{"key":"10.1016\/j.knosys.2026.115653_bib0051","series-title":"Proceedings of the IEEE\/CVF Winter Conference on Applications of Computer Vision","first-page":"2149","article-title":"Resolution-robust large mask inpainting with fourier convolutions","author":"Suvorov","year":"2022"},{"issue":"10","key":"10.1016\/j.knosys.2026.115653_bib0052","doi-asserted-by":"crossref","first-page":"12667","DOI":"10.1109\/TPAMI.2023.3280222","article-title":"Zits++: image inpainting by improving the incremental transformer on structural priors","volume":"45","author":"Cao","year":"2023","journal-title":"IEEE Trans. Pattern Anal. Mach. Intell."},{"key":"10.1016\/j.knosys.2026.115653_bib0053","doi-asserted-by":"crossref","DOI":"10.1016\/j.inffus.2024.102487","article-title":"DF3Net: dual frequency feature fusion network with hierarchical transformer for image inpainting","volume":"111","author":"Huang","year":"2024","journal-title":"Inf. Fusion"},{"key":"10.1016\/j.knosys.2026.115653_bib0054","series-title":"Proceedings of the 37Th 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.knosys.2026.115653_bib0055","series-title":"Advances in Neural Information Processing Systems","first-page":"21271","article-title":"Bootstrap your own latent-a new approach to self-supervised learning","author":"Grill","year":"2020"},{"key":"10.1016\/j.knosys.2026.115653_bib0056","series-title":"Proceedings of the IEEE\/CVF International Conference on Computer Vision","first-page":"9640","article-title":"An empirical study of training self-supervised vision transformers","author":"Chen","year":"2021"},{"key":"10.1016\/j.knosys.2026.115653_bib0057","doi-asserted-by":"crossref","DOI":"10.1016\/j.knosys.2024.111588","article-title":"Contrastive learning-based knowledge distillation for RGB-thermal urban scene semantic segmentation","volume":"292","author":"Guo","year":"2024","journal-title":"Knowl. Based Syst."},{"key":"10.1016\/j.knosys.2026.115653_bib0058","series-title":"26Th European Conference on Artificial Intelligence","first-page":"2552","article-title":"Using self-supervised dual constraint contrastive learning for cross-modal retrieval","author":"Wang","year":"2023"},{"key":"10.1016\/j.knosys.2026.115653_bib0059","doi-asserted-by":"crossref","unstructured":"X. Wang, J. Pan, L. Ding, C. Biemann, Mitigating hallucinations in large vision-language models with instruction contrastive decoding,(2024). arXiv preprint arXiv: 2403.18715.","DOI":"10.18653\/v1\/2024.findings-acl.937"},{"key":"10.1016\/j.knosys.2026.115653_bib0060","series-title":"Proceedings of the IEEE\/CVF Conference on Computer Vision and Pattern Recognition","first-page":"9653","article-title":"Simmim: a simple framework for masked image modeling","author":"Xie","year":"2022"},{"key":"10.1016\/j.knosys.2026.115653_bib0061","series-title":"Proceedings of the IEEE\/CVF Conference on Computer Vision and Pattern Recognition","first-page":"770","article-title":"Deep residual learning for image recognition","author":"He","year":"2016"},{"key":"10.1016\/j.knosys.2026.115653_bib0062","series-title":"Proceedings of the IEEE\/CVF Conference on Computer Vision and Pattern Recognition","first-page":"1125","article-title":"Image-to-image translation with conditional adversarial networks","author":"Isola","year":"2017"},{"issue":"6","key":"10.1016\/j.knosys.2026.115653_bib0063","doi-asserted-by":"crossref","first-page":"1452","DOI":"10.1109\/TPAMI.2017.2723009","article-title":"Places: a 10 million image database for scene recognition","volume":"40","author":"Zhou","year":"2017","journal-title":"IEEE Trans. Pattern Anal. Mach. Intell."},{"key":"10.1016\/j.knosys.2026.115653_bib0064","series-title":"International Conference on Learning Representations","article-title":"Progressive growing of gans for improved quality, stability, and variation","author":"Karras","year":"2018"},{"key":"10.1016\/j.knosys.2026.115653_bib0065","series-title":"Proceedings of the IEEE\/CVF International Conference on Computer Vision","first-page":"14509","article-title":"Learning a sketch tensor space for image inpainting of man-made scenes","author":"Cao","year":"2021"},{"key":"10.1016\/j.knosys.2026.115653_bib0066","series-title":"Advances in Neural Information Processing Systems","first-page":"6629","article-title":"GANs trained by a two time-scale update rule converge to a local nash equilibrium","author":"Heusel","year":"2017"},{"key":"10.1016\/j.knosys.2026.115653_bib0067","series-title":"Proceedings of the IEEE\/CVF Conference on Computer Vision and Pattern Recognition","first-page":"586","article-title":"The unreasonable effectiveness of deep features as a perceptual metric","author":"Zhang","year":"2018"}],"container-title":["Knowledge-Based Systems"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/api.elsevier.com\/content\/article\/PII:S095070512600393X?httpAccept=text\/xml","content-type":"text\/xml","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/api.elsevier.com\/content\/article\/PII:S095070512600393X?httpAccept=text\/plain","content-type":"text\/plain","content-version":"vor","intended-application":"text-mining"}],"deposited":{"date-parts":[[2026,4,14]],"date-time":"2026-04-14T00:04:47Z","timestamp":1776125087000},"score":1,"resource":{"primary":{"URL":"https:\/\/linkinghub.elsevier.com\/retrieve\/pii\/S095070512600393X"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2026,5]]},"references-count":67,"alternative-id":["S095070512600393X"],"URL":"https:\/\/doi.org\/10.1016\/j.knosys.2026.115653","relation":{},"ISSN":["0950-7051"],"issn-type":[{"value":"0950-7051","type":"print"}],"subject":[],"published":{"date-parts":[[2026,5]]},"assertion":[{"value":"Elsevier","name":"publisher","label":"This article is maintained by"},{"value":"Contrastive perception representation learning for image inpainting","name":"articletitle","label":"Article Title"},{"value":"Knowledge-Based Systems","name":"journaltitle","label":"Journal Title"},{"value":"https:\/\/doi.org\/10.1016\/j.knosys.2026.115653","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":"115653"}}