{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,9,11]],"date-time":"2025-09-11T19:58:01Z","timestamp":1757620681542,"version":"3.44.0"},"reference-count":61,"publisher":"Springer Science and Business Media LLC","issue":"6","license":[{"start":{"date-parts":[[2025,7,31]],"date-time":"2025-07-31T00:00:00Z","timestamp":1753920000000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by-nc-nd\/4.0"},{"start":{"date-parts":[[2025,7,31]],"date-time":"2025-07-31T00:00:00Z","timestamp":1753920000000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by-nc-nd\/4.0"}],"funder":[{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["52127809","51625501"],"award-info":[{"award-number":["52127809","51625501"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":["J. King Saud Univ. Comput. Inf. Sci."],"published-print":{"date-parts":[[2025,8]]},"DOI":"10.1007\/s44443-025-00171-7","type":"journal-article","created":{"date-parts":[[2025,7,31]],"date-time":"2025-07-31T07:50:02Z","timestamp":1753948202000},"update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":0,"title":["Semantic-aware style transfer for unsupervised aircraft pose estimation"],"prefix":"10.1007","volume":"37","author":[{"given":"Qifeng","family":"Luo","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Danya","family":"Zhou","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Zhenzhong","family":"Wei","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","published-online":{"date-parts":[[2025,7,31]]},"reference":[{"key":"171_CR1","unstructured":"Belghazi MI, Baratin A, Rajeswar S, Ozair S, Bengio Y, Hjelm RD et\u00a0al (2019) Mutual information neural estimation. In: Proceedings of the 35th international conference on machine learning, ICML 2018, p 530\u2013539"},{"issue":"1","key":"171_CR2","doi-asserted-by":"publisher","first-page":"98","DOI":"10.1016\/j.jksuci.2015.09.002","volume":"28","author":"G Bencheikh","year":"2016","unstructured":"Bencheikh G, Boukachour J, El Hilali Alaoui A (2016) A memetic algorithm to solve the dynamic multiple runway aircraft landing problem. J Univ King Saud Univ - Comput Inf Sci 28(1):98\u2013109. https:\/\/doi.org\/10.1016\/j.jksuci.2015.09.002","journal-title":"J Univ King Saud Univ - Comput Inf Sci"},{"key":"171_CR3","doi-asserted-by":"crossref","unstructured":"Bousmalis K, Silberman N, Dohan D, Erhan D, Krishnan D (2017) Unsupervised pixel-level domain adaptation with generative adversarial networks. In: 2017 IEEE conference on computer vision and pattern recognition (CVPR), pp 95\u2013104","DOI":"10.1109\/CVPR.2017.18"},{"key":"171_CR4","doi-asserted-by":"crossref","unstructured":"Caron M, Touvron H, Misra I, Jegou H, Mairal J, Bojanowski P et\u00a0al (2021) Emerging Properties in Self-Supervised Vision Transformers. In: 2021 IEEE\/CVF international conference on computer vision (ICCV), pp 9630\u20139640","DOI":"10.1109\/ICCV48922.2021.00951"},{"key":"171_CR5","doi-asserted-by":"crossref","unstructured":"Chen H, Manhardt F, Navab N, Busam B (2023) TexPose: Neural texture learning for self-supervised 6D object pose estimation. In: 2023 IEEE\/CVF conference on computer vision and pattern recognition (CVPR), pp 4841\u20134852","DOI":"10.1109\/CVPR52729.2023.00469"},{"key":"171_CR6","doi-asserted-by":"crossref","unstructured":"Chung J, Hyun S, Heo JP (2024) Style injection in diffusion: A training-free approach for adapting large-scale diffusion models for style transfer. In: 2024 IEEE\/CVF conference on computer vision and pattern recognition (CVPR), pp 8795\u20138805","DOI":"10.1109\/CVPR52733.2024.00840"},{"issue":"8","key":"171_CR7","doi-asserted-by":"publisher","first-page":"258","DOI":"10.1016\/j.cja.2022.11.029","volume":"36","author":"D Fu","year":"2023","unstructured":"Fu D, Han S, Liang B, Yuan X, Li W (2023) Exploring 2D projection and 3D spatial information for aircraft 6D pose. Chin J Aeronaut 36(8):258\u2013268. https:\/\/doi.org\/10.1016\/j.cja.2022.11.029","journal-title":"Chin J Aeronaut"},{"key":"171_CR8","doi-asserted-by":"crossref","unstructured":"Georgakis G, Karanam S, Wu Z, Kosecka J (2019) Learning local RGB-to-CAD correspondences for object pose estimation. In: 2019 IEEE\/CVF international conference on computer vision (ICCV), pp 8966\u20138975","DOI":"10.1109\/ICCV.2019.00906"},{"key":"171_CR9","unstructured":"Hamilton M, Zhang Z, Hariharan B, Snavely N, Freeman WT (2022) Unsupervised semantic segmentation by distilling feature correspondences. In: International conference on learning representations"},{"key":"171_CR10","unstructured":"Hjelm RD, Fedorov A, Lavoie-Marchildon S, Grewal K, Bachman P, Trischler A et\u00a0al (2019) Learning deep representations by mutual information estimation and maximization. In: 7th International conference on learning representations, ICLR 2019"},{"key":"171_CR11","doi-asserted-by":"crossref","unstructured":"Hu Y, Fua P, Salzmann M (2022) Perspective flow aggregation for data-limited 6D object pose estimation. In: European conference on computer vision","DOI":"10.1007\/978-3-031-20086-1_6"},{"key":"171_CR12","doi-asserted-by":"crossref","unstructured":"Huang X, Belongie S (2017) Arbitrary style transfer in real-time with adaptive instance normalization. In: 2017 IEEE international conference on computer vision (ICCV), pp 1510\u20131519","DOI":"10.1109\/ICCV.2017.167"},{"key":"171_CR13","doi-asserted-by":"crossref","unstructured":"Ikeda T, Tanishige S, Amma A, Sudano M, Audren H, Nishiwaki K (2022) Sim2Real instance-level style transfer for 6D pose estimation. In: 2022 IEEE\/RSJ international conference on intelligent robots and systems (IROS), pp 3225\u20133232","DOI":"10.1109\/IROS47612.2022.9981878"},{"key":"171_CR14","doi-asserted-by":"crossref","unstructured":"Isola P, Zhu JY, Zhou T, Efros AA (2017) Image-to-image translation with conditional adversarial networks. In: 2017 IEEE conference on computer vision and pattern recognition (CVPR), pp 5967\u20135976","DOI":"10.1109\/CVPR.2017.632"},{"key":"171_CR15","doi-asserted-by":"crossref","unstructured":"Jean R, St-Charles PL, Pirk S, Brodeur S (2022) Self-supervised learning of pose-informed latents. In: Proceedings of the IEEE\/CVF conference on computer vision and pattern recognition, pp 4007\u20134016","DOI":"10.1109\/CVPRW56347.2022.00446"},{"key":"171_CR16","doi-asserted-by":"crossref","unstructured":"Jiang J, Ji Y, Wang X, Liu Y, Wang J, Long M (2021) Regressive domain adaptation for unsupervised keypoint detection. In: 2021 IEEE\/CVF conference on computer vision and pattern recognition (CVPR), pp 6776\u20136785","DOI":"10.1109\/CVPR46437.2021.00671"},{"key":"171_CR17","doi-asserted-by":"crossref","unstructured":"Kakogeorgiou I, Gidaris S, Karantzalos K, Komodakis N (2024) SPOT: self-training with patch-order permutation for object-centric learning with autoregressive transformers. In: 2024 IEEE\/CVF conference on computer vision and pattern recognition (CVPR), pp 22776\u201322786","DOI":"10.1109\/CVPR52733.2024.02149"},{"key":"171_CR18","doi-asserted-by":"crossref","unstructured":"Kim C, Han W, Ju D, Hwang SJ (2024) EAGLE: Eigen aggregation learning for object-centric unsupervised semantic segmentation. In: 2024 IEEE\/CVF conference on computer vision and pattern recognition (CVPR), pp 3523\u20133533","DOI":"10.1109\/CVPR52733.2024.00338"},{"key":"171_CR19","doi-asserted-by":"crossref","unstructured":"Kim D, Wang K, Saenko K, Betke M, Sclaroff S (2022) A unified framework for domain adaptive pose estimation. In: The european conference on computer vision (ECCV)","DOI":"10.1007\/978-3-031-19827-4_35"},{"issue":"4","key":"171_CR20","doi-asserted-by":"publisher","first-page":"1305","DOI":"10.1016\/j.jksuci.2019.07.009","volume":"34","author":"P Kumar","year":"2022","unstructured":"Kumar P, Verma S (2022) Implementation of modified OLSR protocol in AANETs for UDP and TCP environment. J Univ King Saud Univ - Comput Inf Sci 34(4):1305\u20131311. https:\/\/doi.org\/10.1016\/j.jksuci.2019.07.009","journal-title":"J Univ King Saud Univ - Comput Inf Sci"},{"key":"171_CR21","first-page":"468","volume":"2018","author":"Y Li","year":"2018","unstructured":"Li Y, Liu MY, Li X, Yang MH, Kautz J (2018) A closed-form solution to photorealistic image stylization. Computer vision - ECCV 2018:468\u2013483","journal-title":"Computer vision - ECCV"},{"key":"171_CR22","doi-asserted-by":"crossref","unstructured":"Li Y, Liu MY, Li X, Yang MH, Kautz J (2018) A closed-form solution to photorealistic image stylization. In: Computer vision \u2013 ECCV 2018, pp 468\u2013483","DOI":"10.1007\/978-3-030-01219-9_28"},{"key":"171_CR23","doi-asserted-by":"crossref","unstructured":"Liu S, Lin T, He D, Li F, Wang M, Li X et\u00a0al (2021) AdaAttN: Revisit attention mechanism in arbitrary neural style transfer. In: 2021 IEEE\/CVF international conference on computer vision (ICCV), pp 6629\u20136638","DOI":"10.1109\/ICCV48922.2021.00658"},{"key":"171_CR24","doi-asserted-by":"publisher","DOI":"10.1016\/j.neunet.2024.106352","volume":"176","author":"Q Luo","year":"2024","unstructured":"Luo Q, Xu TB, Liu F, Li T, Wei Z (2024) Learning shared template representation with augmented feature for multi-object pose estimation. Neural Netw 176:106352","journal-title":"Neural Netw"},{"key":"171_CR25","first-page":"800","volume":"2018","author":"R Mechrez","year":"2018","unstructured":"Mechrez R, Talmi I, Zelnik-Manor L (2018) The contextual loss for image transformation with non-aligned data. Computer vision - ECCV 2018:800\u2013815","journal-title":"Computer vision - ECCV"},{"key":"171_CR26","doi-asserted-by":"crossref","unstructured":"Nguyen VN, Groueix T, Ponimatkin G, Hu Y, Marlet R, Salzmann M et\u00a0al (2024) Nope: Novel object pose estimation from a single image. In: Proceedings of the IEEE\/CVF conference on computer vision and pattern recognition, pp 17923\u201317932","DOI":"10.1109\/CVPR52733.2024.01697"},{"key":"171_CR27","doi-asserted-by":"crossref","unstructured":"Nguyen VN, Hu Y, Xiao Y, Salzmann M, Lepetit V (2022) Templates for 3D object pose estimation revisited: Generalization to new objects and robustness to occlusions. In: 2022 IEEE\/CVF conference on computer vision and pattern recognition (CVPR), pp 6761\u20136770","DOI":"10.1109\/CVPR52688.2022.00665"},{"key":"171_CR28","unstructured":"Oord A, Li Y, Vinyals O (2018) Representation learning with contrastive predictive coding. ArXiv arXiv:1807.03748"},{"key":"171_CR29","doi-asserted-by":"publisher","unstructured":"Oquab M, Darcet T, Moutakanni T, Vo H, Szafraniec M, Khalidov V et\u00a0al (2023) DINOv2: Learning Robust Visual Features without Supervision. CoRR https:\/\/doi.org\/10.48550\/arXiv.2304.07193","DOI":"10.48550\/arXiv.2304.07193"},{"key":"171_CR30","doi-asserted-by":"publisher","first-page":"9279","DOI":"10.1109\/TIP.2020.3025447","volume":"29","author":"C Papaioannidis","year":"2020","unstructured":"Papaioannidis C, Mygdalis V, Pitas I (2020) Domain-translated 3D Object pose estimation. IEEE Trans Image Process 29:9279\u20139291. https:\/\/doi.org\/10.1109\/TIP.2020.3025447","journal-title":"IEEE Trans Image Process"},{"key":"171_CR31","doi-asserted-by":"crossref","unstructured":"Park DY, Lee KH (2019) Arbitrary style transfer with style-attentional networks. In: 2019 IEEE\/CVF conference on computer vision and pattern recognition (CVPR), pp 5873\u20135881","DOI":"10.1109\/CVPR.2019.00603"},{"key":"171_CR32","doi-asserted-by":"crossref","unstructured":"Park T, Efros AA, Zhang R, Zhu JY (2020) Contrastive learning for unpaired image-to-image translation. In: European Conference on Computer Vision","DOI":"10.1007\/978-3-030-58545-7_19"},{"issue":"6","key":"171_CR33","doi-asserted-by":"publisher","first-page":"3212","DOI":"10.1109\/TPAMI.2020.3047388","volume":"44","author":"S Peng","year":"2022","unstructured":"Peng S, Zhou X, Liu Y, Lin H, Huang Q, Bao H (2022) PVNet: Pixel-wise voting network for 6dof object pose estimation. IEEE Trans Patt Anal Mach Intell 44(6):3212\u20133223. https:\/\/doi.org\/10.1109\/TPAMI.2020.3047388","journal-title":"IEEE Trans Patt Anal Mach Intell"},{"issue":"3","key":"171_CR34","doi-asserted-by":"publisher","first-page":"1618","DOI":"10.1109\/TCDS.2023.3237502","volume":"15","author":"K Qian","year":"2023","unstructured":"Qian K, Duan Y, Luo C, Zhao Y, Jing X (2023) Pixel-level domain adaptation for real-to-sim object pose estimation. IEEE Trans Cognit Develop Syst 15(3):1618\u20131627. https:\/\/doi.org\/10.1109\/TCDS.2023.3237502","journal-title":"IEEE Trans Cognit Develop Syst"},{"key":"171_CR35","doi-asserted-by":"crossref","unstructured":"Rad M, Lepetit V (2017) BB8: A scalable, accurate, robust to partial occlusion method for predicting the 3d poses of challenging objects without using depth. In: 2017 IEEE international conference on computer vision (ICCV), pp 3848\u20133856","DOI":"10.1109\/ICCV.2017.413"},{"key":"171_CR36","doi-asserted-by":"crossref","unstructured":"Rad M, Oberweger M, Lepetit V (2019) Domain transfer for 3D pose estimation from color images without manual annotations. In: Computer vision \u2013 ACCV 2018 Cham, pp 69\u201384","DOI":"10.1007\/978-3-030-20873-8_5"},{"key":"171_CR37","doi-asserted-by":"crossref","unstructured":"Shin G, Albanie S, Xie W (2022) Unsupervised salient object detection with spectral cluster voting. In: 2022 IEEE\/CVF conference on computer vision and pattern recognition workshops (CVPRW), pp 3970\u20133979","DOI":"10.1109\/CVPRW56347.2022.00442"},{"key":"171_CR38","doi-asserted-by":"crossref","unstructured":"Simeoni O, Sekkat C, Puy G, Vobecky A, Zablocki E, Perez P (2023) Unsupervised object localization: Observing the background to discover objects. In: 2023 IEEE\/CVF conference on computer vision and pattern recognition (CVPR), pp 3176\u20133186","DOI":"10.1109\/CVPR52729.2023.00310"},{"key":"171_CR39","doi-asserted-by":"crossref","unstructured":"Sock J, Garcia-Hernando G, Armagan A, Kim TK (2020) Introducing pose consistency and warp-alignment for self-supervised 6D Object pose estimation in color images. In: 2020 international conference on 3D vision (3DV), pp 291\u2013300","DOI":"10.1109\/3DV50981.2020.00039"},{"key":"171_CR40","doi-asserted-by":"publisher","unstructured":"Stuhr B, Brauer J, Schick B, Gonz\u00e0lez J (2024) Masked discriminators for content-consistent unpaired image-to-image translation. IEEE Access 1\u20131. https:\/\/doi.org\/10.1109\/ACCESS.2024.3488837","DOI":"10.1109\/ACCESS.2024.3488837"},{"key":"171_CR41","doi-asserted-by":"crossref","unstructured":"Su Y, Saleh M, Fetzer T, Rambach J, Navab N, Busam B et\u00a0al (2022) ZebraPose: Coarse to fine surface encoding for 6DoF object pose estimation. In: 2022 IEEE\/CVF conference on computer vision and pattern recognition (CVPR), pp 6728\u20136738","DOI":"10.1109\/CVPR52688.2022.00662"},{"key":"171_CR42","doi-asserted-by":"crossref","unstructured":"Sundermeyer M, Marton ZC, Durner M, Triebel R (2020) Augmented autoencoders: Implicit 3D orientation learning for 6D object detection. Int J Comput Vis 128(3)","DOI":"10.1007\/s11263-019-01243-8"},{"key":"171_CR43","doi-asserted-by":"crossref","unstructured":"Torbunov D, Huang Y, Yu H, Huang J, Yoo S, Lin M et\u00a0al (2023) UVCGAN: UNet vision transformer cycle-consistent GAN for unpaired image-to-image translation. In: 2023 IEEE\/CVF winter conference on applications of computer vision (WACV), pp 702\u2013712","DOI":"10.1109\/WACV56688.2023.00077"},{"key":"171_CR44","first-page":"108","volume":"2020","author":"G Wang","year":"2020","unstructured":"Wang G, Manhardt F, Shao J, Ji X, Navab N, Tombari F (2020) Self6D: Self-supervised monocular 6D object pose estimation. Computer vision - ECCV 2020:108\u2013125","journal-title":"Computer vision - ECCV"},{"issue":"12","key":"171_CR45","doi-asserted-by":"publisher","first-page":"15790","DOI":"10.1109\/TPAMI.2023.3305122","volume":"45","author":"Y Wang","year":"2023","unstructured":"Wang Y, Shen X, Yuan Y, Du Y, Li M, Hu SX et al (2023) TokenCut: Segmenting objects in images and videos with self-supervised transformer and normalized cut. IEEE Trans Patt Anal Mach Intell 45(12):15790\u201315801. https:\/\/doi.org\/10.1109\/TPAMI.2023.3305122","journal-title":"IEEE Trans Patt Anal Mach Intell"},{"issue":"3","key":"171_CR46","doi-asserted-by":"publisher","first-page":"1788","DOI":"10.1109\/TPAMI.2021.3136301","volume":"46","author":"G Wang","year":"2024","unstructured":"Wang G, Manhardt F, Liu X, Ji X, Tombari F (2024) Occlusion-aware self-supervised monocular 6D object pose estimation. IEEE Trans Patt Anal Mach Intell 46(3):1788\u20131803. https:\/\/doi.org\/10.1109\/TPAMI.2021.3136301","journal-title":"IEEE Trans Patt Anal Mach Intell"},{"key":"171_CR47","doi-asserted-by":"crossref","unstructured":"Wang Y, Shen X, Hu SX, Yuan Y, Crowley JL, Vaufreydaz D (2022b) Self-supervised transformers for unsupervised object discovery using normalized cut. In: 2022 IEEE\/CVF conference on computer vision and pattern recognition (CVPR), pp 14523\u201314533","DOI":"10.1109\/CVPR52688.2022.01414"},{"key":"171_CR48","doi-asserted-by":"publisher","unstructured":"Wang Y, Shen X, Yuan Y, Du Y, Li M, Hu SX et\u00a0al (2023) TokenCut: Segmenting objects in images and videos with self-supervised transformer and normalized cut. IEEE Trans Patt Anal Mach Intell 45(12):15790\u201315801. https:\/\/doi.org\/10.1109\/TPAMI.2023.3305122","DOI":"10.1109\/TPAMI.2023.3305122"},{"issue":"3","key":"171_CR49","doi-asserted-by":"publisher","first-page":"4931","DOI":"10.1109\/LRA.2020.3005121","volume":"5","author":"Y Wen","year":"2020","unstructured":"Wen Y, Pan H, Yang L, Wang W (2020) Edge enhanced implicit orientation learning with geometric prior for 6D pose estimation. IEEE Robot Autom Lett 5(3):4931\u20134938. https:\/\/doi.org\/10.1109\/LRA.2020.3005121","journal-title":"IEEE Robot Autom Lett"},{"key":"171_CR50","doi-asserted-by":"crossref","unstructured":"Wen Y, Li X, Pan H, Yang L, Wang Z, Komura T et al (2021) DISP6D: Disentangled implicit shape and pose learning for scalable 6D pose estimation. In: European conference on computer vision","DOI":"10.1007\/978-3-031-20077-9_24"},{"key":"171_CR51","doi-asserted-by":"publisher","unstructured":"Wen Y, Pan H, Yang L, Wang W (2020) Edge enhanced implicit orientation learning with geometric prior for 6D pose estimation. IEEE Robot Autom Lett 5(3):4931\u20134938. https:\/\/doi.org\/10.1109\/LRA.2020.3005121","DOI":"10.1109\/LRA.2020.3005121"},{"key":"171_CR52","doi-asserted-by":"crossref","unstructured":"Wohlhart P, Lepetit V (2015) Learning descriptors for object recognition and 3D pose estimation. In: 2015 IEEE conference on computer vision and pattern recognition (CVPR), pp 3109\u20133118","DOI":"10.1109\/CVPR.2015.7298930"},{"key":"171_CR53","first-page":"37","volume":"2024","author":"Y Wu","year":"2025","unstructured":"Wu Y, Greenspan M (2025) Pseudo-keypoint RKHS learning for self-supervised 6DoF pose estimation. Computer vision - ECCV 2024:37\u201356","journal-title":"Computer vision - ECCV"},{"issue":"3","key":"171_CR54","doi-asserted-by":"publisher","first-page":"2718","DOI":"10.1109\/TIE.2021.3070501","volume":"69","author":"C Wu","year":"2022","unstructured":"Wu C, Chen L, He Z, Jiang J (2022) Pseudo-siamese graph matching network for textureless objects\u2019 6-D pose estimation. IEEE Trans Ind Electron 69(3):2718\u20132727. https:\/\/doi.org\/10.1109\/TIE.2021.3070501","journal-title":"IEEE Trans Ind Electron"},{"key":"171_CR55","first-page":"189","volume":"2022","author":"Z Wu","year":"2022","unstructured":"Wu Z, Zhu Z, Du J, Bai X (2022) CCPL: Contrastive coherence preserving loss for versatile style transfer. Computer vision - ECCV 2022:189\u2013206","journal-title":"Computer vision - ECCV"},{"key":"171_CR56","doi-asserted-by":"crossref","unstructured":"Yoo J, Uh Y, Chun S, Kang B, Ha JW (2019) Photorealistic style transfer via wavelet transforms. In: 2019 IEEE\/CVF international conference on computer vision (ICCV), pp 9035\u20139044","DOI":"10.1109\/ICCV.2019.00913"},{"key":"171_CR57","doi-asserted-by":"crossref","unstructured":"Zhang Y, Lin J, Chen K, Xu Z, Wang Y, Jia K (2023a) Manifold-aware self-training for unsupervised domain adaptation on regressing 6D object pose. In: Proceedings of the 32nd international joint conference on artificial intelligence, IJCAI-23, pp 1740\u20131748","DOI":"10.24963\/ijcai.2023\/193"},{"key":"171_CR58","doi-asserted-by":"crossref","unstructured":"Zhang Y, Lin J, Chen K, Xu Z, Wang Y, Jia K (2023b) Manifold-aware self-training for unsupervised domain adaptation on regressing 6D object pose. In: Proceedings of the 32nd international joint conference on artificial intelligence, IJCAI-23, pp 1740\u20131748. Main Track","DOI":"10.24963\/ijcai.2023\/193"},{"key":"171_CR59","first-page":"800","volume":"2020","author":"Y Zhao","year":"2020","unstructured":"Zhao Y, Wu R, Dong H (2020) Unpaired image-to-image translation using adversarial consistency loss. Computer Vision - ECCV 2020:800\u2013815","journal-title":"Computer Vision - ECCV"},{"key":"171_CR60","doi-asserted-by":"crossref","unstructured":"Zhu JY, Park T, Isola P, Efros AA (2017) Unpaired image-to-image translation using cycle-consistent adversarial networks. In: 2017 IEEE international conference on computer vision (ICCV), pp 2242\u20132251","DOI":"10.1109\/ICCV.2017.244"},{"key":"171_CR61","doi-asserted-by":"crossref","unstructured":"Zhu M, He X, Wang N, Wang X, Gao X (2023) All-to-key attention for arbitrary style transfer. In: 2023 IEEE\/CVF international conference on computer vision (ICCV), pp 23052\u201323062","DOI":"10.1109\/ICCV51070.2023.02112"}],"container-title":["Journal of King Saud University Computer and Information Sciences"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/s44443-025-00171-7.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/article\/10.1007\/s44443-025-00171-7\/fulltext.html","content-type":"text\/html","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/s44443-025-00171-7.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,9,8]],"date-time":"2025-09-08T10:38:40Z","timestamp":1757327920000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/s44443-025-00171-7"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2025,7,31]]},"references-count":61,"journal-issue":{"issue":"6","published-print":{"date-parts":[[2025,8]]}},"alternative-id":["171"],"URL":"https:\/\/doi.org\/10.1007\/s44443-025-00171-7","relation":{},"ISSN":["1319-1578","2213-1248"],"issn-type":[{"type":"print","value":"1319-1578"},{"type":"electronic","value":"2213-1248"}],"subject":[],"published":{"date-parts":[[2025,7,31]]},"assertion":[{"value":"4 April 2025","order":1,"name":"received","label":"Received","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"9 July 2025","order":2,"name":"accepted","label":"Accepted","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"31 July 2025","order":3,"name":"first_online","label":"First Online","group":{"name":"ArticleHistory","label":"Article History"}},{"order":1,"name":"Ethics","group":{"name":"EthicsHeading","label":"Declarations"}},{"value":"The authors declare that they have no financial or proprietary interests in any material discussed in this article.","order":2,"name":"Ethics","group":{"name":"EthicsHeading","label":"Conflict of Interest"}}],"article-number":"146"}}