{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,4,18]],"date-time":"2026-04-18T07:08:09Z","timestamp":1776496089837,"version":"3.51.2"},"reference-count":127,"publisher":"Springer Science and Business Media LLC","issue":"8","license":[{"start":{"date-parts":[[2024,2,17]],"date-time":"2024-02-17T00:00:00Z","timestamp":1708128000000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"},{"start":{"date-parts":[[2024,2,17]],"date-time":"2024-02-17T00:00:00Z","timestamp":1708128000000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"}],"funder":[{"DOI":"10.13039\/501100004543","name":"China Scholarship Council","doi-asserted-by":"publisher","award":["202006470075"],"award-info":[{"award-number":["202006470075"]}],"id":[{"id":"10.13039\/501100004543","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":["Int J Comput Vis"],"published-print":{"date-parts":[[2024,8]]},"DOI":"10.1007\/s11263-024-02001-1","type":"journal-article","created":{"date-parts":[[2024,2,17]],"date-time":"2024-02-17T13:01:55Z","timestamp":1708174915000},"page":"2743-2764","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":3,"title":["Annotation-Free Human Sketch Quality Assessment"],"prefix":"10.1007","volume":"132","author":[{"given":"Lan","family":"Yang","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Kaiyue","family":"Pang","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Honggang","family":"Zhang","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Yi-Zhe","family":"Song","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","published-online":{"date-parts":[[2024,2,17]]},"reference":[{"key":"2001_CR1","doi-asserted-by":"crossref","unstructured":"Ahn, S., Choi, Y., & Yoon, K. (2021). Deep learning-based distortion sensitivity prediction for full-reference image quality assessment. In CVPR (pp. 344\u2013353).","DOI":"10.1109\/CVPRW53098.2021.00044"},{"key":"2001_CR2","unstructured":"Arpit, D., Jastrzebski, S., Ballas, N., Ballas, N., Krueger, D., Bengio, E., Kanwal, M. S., Maharaj, T., Fischer, A., Courville, A., Bengio, Y., & Lacoste-Julien, S. (2017). A closer look at memorization in deep networks. In ICML (pp. 233\u2013242)."},{"key":"2001_CR3","unstructured":"Baldock, R., Maennel, H., & Neyshabur, B. (2021). Deep learning through the lens of example difficulty. In NeurIPS (pp. 10876\u201310889)."},{"issue":"4","key":"2001_CR4","doi-asserted-by":"publisher","first-page":"1","DOI":"10.1145\/2766959","volume":"34","author":"S Bell","year":"2015","unstructured":"Bell, S., & Bala, K. (2015). Learning visual similarity for product design with convolutional neural networks. ACM Transactions on Graphics (Proc SIGGRAPH), 34(4), 1\u201310.","journal-title":"ACM Transactions on Graphics (Proc SIGGRAPH)"},{"key":"2001_CR5","unstructured":"Bengio, Y., L\u00e9onard, N., & Courville, A. (2013). Estimating or propagating gradients through stochastic neurons for conditional computation. arXiv:1308.3432"},{"key":"2001_CR6","doi-asserted-by":"crossref","unstructured":"Bhunia, A. K., Das, A., Muhammad, U. R., Yang, Y., Hospedales, T. M., Xiang, T., Gryaditskaya, Y., & Song, Y.-Z. (2020). Pixelor: A competitive sketching AI agent. So you think you can sketch? ACM Transactions on Graphics (Proc SIGGRAPH Asia), 39(6), 1\u201315.","DOI":"10.1145\/3414685.3417840"},{"key":"2001_CR7","doi-asserted-by":"crossref","unstructured":"Bhunia, A. K., Koley, S., Khilji, A. F. U. R., Sain, A., Chowdhury, P. N., Xiang, T., & Song, Y.-Z., (2022). Sketching without worrying: Noise-tolerant sketch-based image retrieval. In CVPR (pp. 999\u20131008).","DOI":"10.1109\/CVPR52688.2022.00107"},{"key":"2001_CR8","doi-asserted-by":"crossref","unstructured":"Bhunia, A. K., Yang, Y., Hospedales, T. M., Xiang, T., & Song, Y.-Z., (2020b). Sketch less for more: On-the-fly fine-grained sketch-based image retrieval. In CVPR (pp. 9779\u20139788).","DOI":"10.1109\/CVPR42600.2020.00980"},{"issue":"1","key":"2001_CR9","doi-asserted-by":"publisher","first-page":"206","DOI":"10.1109\/TIP.2017.2760518","volume":"27","author":"S Bosse","year":"2017","unstructured":"Bosse, S., Maniry, D., M\u00fcller, K. R., Wiegand, T., & Samek, W. (2017). Deep neural networks for no-reference and full-reference image quality assessment. IEEE Transactions on Image Processing, 27(1), 206\u2013219.","journal-title":"IEEE Transactions on Image Processing"},{"key":"2001_CR10","doi-asserted-by":"crossref","unstructured":"Caron, M., Bojanowski, P., Joulin, A., & Douze, M. (2018). Deep clustering for unsupervised learning of visual features. In ECCV (pp. 132\u2013149).","DOI":"10.1007\/978-3-030-01264-9_9"},{"key":"2001_CR11","doi-asserted-by":"crossref","unstructured":"Chang, J., Lan, Z., Cheng, C., & Wei, Y. (2020). Data uncertainty learning in face recognition. In CVPR (pp. 5710\u20135719).","DOI":"10.1109\/CVPR42600.2020.00575"},{"key":"2001_CR12","doi-asserted-by":"crossref","unstructured":"Chen, K. T., Wu, C. C., Chang, Y. C., & Lei, C.-L. (2009). A crowdsourceable QoE evaluation framework for multimedia content. In ACM MM (pp. 491\u2013500).","DOI":"10.1145\/1631272.1631339"},{"issue":"4","key":"2001_CR13","doi-asserted-by":"publisher","first-page":"72","DOI":"10.1145\/3386569.3392386","volume":"39","author":"SY Chen","year":"2020","unstructured":"Chen, S. Y., Su, W., Gao, L., Xia, S., & Fu, H. (2020). Deepfacedrawing: Deep generation of face images from sketches. ACM Transactions on Graphics (Proc SIGGRAPH), 39(4), 72\u20131.","journal-title":"ACM Transactions on Graphics (Proc SIGGRAPH)"},{"key":"2001_CR14","doi-asserted-by":"crossref","unstructured":"Chiang, C. H., & Lee, H. (2023). Can large language models be an alternative to human evaluations? arXiv:2305.01937","DOI":"10.18653\/v1\/2023.acl-long.870"},{"key":"2001_CR15","doi-asserted-by":"crossref","unstructured":"Chun, S., Oh, S. J., de Rezende, R. S., Kalantidis, Y., & Larlus, D. (2021). Probabilistic embeddings for cross-modal retrieval. In CVPR (pp. 8415\u20138424).","DOI":"10.1109\/CVPR46437.2021.00831"},{"key":"2001_CR16","doi-asserted-by":"publisher","first-page":"273","DOI":"10.1007\/BF00994018","volume":"20","author":"C Cortes","year":"1995","unstructured":"Cortes, C., & Vapnik, V. (1995). Support-vector networks. Machine Learning, 20, 273\u2013297.","journal-title":"Machine Learning"},{"key":"2001_CR17","doi-asserted-by":"crossref","unstructured":"Cui, Y., Jia, M., Lin, T. Y., Song, Y., & Belongie, S. (2019). Class-balanced loss based on effective number of samples. In CVPR (pp. 9268\u20139277).","DOI":"10.1109\/CVPR.2019.00949"},{"key":"2001_CR18","doi-asserted-by":"crossref","unstructured":"Das, A., Yang, Y., Hospedales, T. M., Xiang, T., & Song, Y.-Z. (2021). Cloud2curve: Generation and vectorization of parametric sketches. In CVPR (pp. 7088\u20137097).","DOI":"10.1109\/CVPR46437.2021.00701"},{"key":"2001_CR19","doi-asserted-by":"crossref","unstructured":"Deng, J., Guo, J., Xue, N., & Zafeiriou, S. (2019). Arcface: Additive angular margin loss for deep face recognition. In CVPR (pp. 4690\u20134699).","DOI":"10.1109\/CVPR.2019.00482"},{"key":"2001_CR20","doi-asserted-by":"crossref","unstructured":"Dougherty, J., Kohavi, R., & Sahami, M. (1995). Supervised and unsupervised discretization of continuous features. In ICML (pp. 194\u2013202).","DOI":"10.1016\/B978-1-55860-377-6.50032-3"},{"key":"2001_CR21","unstructured":"Dukler, Y., Achille, A., Paolini, G., Ravichandran, A., Polito, M., & Soatto, S. (2022). Diva: Dataset derivative of a learning task. In ICLR."},{"key":"2001_CR22","doi-asserted-by":"crossref","unstructured":"Dutta, A., & Akata, Z. (2019). Semantically tied paired cycle consistency for zero-shot sketch-based image retrieval. In CVPR (pp. 5089\u20135098).","DOI":"10.1109\/CVPR.2019.00523"},{"issue":"4","key":"2001_CR23","first-page":"1","volume":"31","author":"M Eitz","year":"2012","unstructured":"Eitz, M., Hays, J., & Alexa, M. (2012). How do humans sketch objects? ACM Transactions on Graphics (Proc SIGGRAPH), 31(4), 1\u201310.","journal-title":"ACM Transactions on Graphics (Proc SIGGRAPH)"},{"issue":"3","key":"2001_CR24","doi-asserted-by":"publisher","first-page":"563","DOI":"10.1109\/TPAMI.2015.2456887","volume":"38","author":"Y Fu","year":"2015","unstructured":"Fu, Y., Hospedales, T. M., Xiang, T., Xiong, J., Gong, S., Wang, Y., & Yao, Y. (2015). Robust subjective visual property prediction from crowdsourced pairwise labels. IEEE Transactions on Pattern Analysis and Machine Intelligence, 38(3), 563\u2013577.","journal-title":"IEEE Transactions on Pattern Analysis and Machine Intelligence"},{"issue":"10","key":"2001_CR25","doi-asserted-by":"publisher","first-page":"2275","DOI":"10.1109\/TNNLS.2014.2377181","volume":"26","author":"F Gao","year":"2015","unstructured":"Gao, F., Tao, D., Gao, X., & Li, X. (2015). Learning to rank for blind image quality assessment. IEEE Transactions on Neural Networks and Learning Systems, 26(10), 2275\u20132290.","journal-title":"IEEE Transactions on Neural Networks and Learning Systems"},{"key":"2001_CR26","unstructured":"Ge, S., Goswami, V., Zitnick, C. L., & Parikh, D. (2020). Creative sketch generation. In ICLR."},{"issue":"1","key":"2001_CR27","doi-asserted-by":"publisher","first-page":"372","DOI":"10.1109\/TIP.2015.2500021","volume":"25","author":"D Ghadiyaram","year":"2015","unstructured":"Ghadiyaram, D., & Bovik, A. C. (2015). Massive online crowdsourced study of subjective and objective picture quality. IEEE Transactions on Image Processing, 25(1), 372\u2013387.","journal-title":"IEEE Transactions on Image Processing"},{"key":"2001_CR28","doi-asserted-by":"crossref","unstructured":"Golestaneh, S. A., Dadsetan, S., & Kitani, K. M. (2022). No-reference image quality assessment via transformers, relative ranking, and self-consistency. In WACV (pp. 1220\u20131230).","DOI":"10.1109\/WACV51458.2022.00404"},{"key":"2001_CR29","doi-asserted-by":"crossref","unstructured":"Gryaditskaya, Y., Sypesteyn, M., Hoftijzer, J. W., Pont, S. C., Durand, F., & Bousseau, A. (2019). Opensketch: A richly-annotated dataset of product design sketches. ACM Transactions on Graphics (Proc SIGGRAPH Asia), 38(6), 232\u20131.","DOI":"10.1145\/3355089.3356533"},{"key":"2001_CR30","unstructured":"Ha, D., & Eck, D. (2018). A neural representation of sketch drawings. In ICLR."},{"key":"2001_CR31","doi-asserted-by":"crossref","unstructured":"Hadsell, R., Chopra, S., & LeCun, Y. (2006). Dimensionality reduction by learning an invariant mapping. In CVPR (pp. 1735\u20131742).","DOI":"10.1109\/CVPR.2006.100"},{"key":"2001_CR32","doi-asserted-by":"crossref","unstructured":"Hammou, D., Fezza, S. A., & Hamidouche, W. (2021). EGB: Image quality assessment based on ensemble of gradient boosting. In CVPR (pp. 541\u2013549).","DOI":"10.1109\/CVPRW53098.2021.00066"},{"key":"2001_CR33","unstructured":"He, Y., Gan, Q., Wipf, D., Reinert, G. D., Yan, J., & Cucuringu, M. (2022). GNNRank: Learning global rankings from pairwise comparisons via directed graph neural networks. In ICML (pp. 8581\u20138612)."},{"issue":"8","key":"2001_CR34","doi-asserted-by":"publisher","first-page":"1735","DOI":"10.1162\/neco.1997.9.8.1735","volume":"9","author":"S Hochreiter","year":"1997","unstructured":"Hochreiter, S., & Schmidhuber, J. (1997). Long short-term memory. Neural Computation, 9(8), 1735\u20131780.","journal-title":"Neural Computation"},{"key":"2001_CR35","unstructured":"Hu, W., Xiao, L., Adlam, B., & Pennington, J. (2020). The surprising simplicity of the early-time learning dynamics of neural networks. In NeurIPS (pp. 17116\u201317128)."},{"key":"2001_CR36","unstructured":"Jang, E., Gu, S., & Poole, B. (2017). Categorical reparameterization with gumbel-softmax. In ICLR."},{"key":"2001_CR37","doi-asserted-by":"crossref","unstructured":"Jo, Y., & Park, J. (2019). Sc-fegan: Face editing generative adversarial network with user\u2019s sketch and color. In CVPR (pp. 1745\u20131753).","DOI":"10.1109\/ICCV.2019.00183"},{"key":"2001_CR38","unstructured":"Kalimeris, D., Kaplun, G., Nakkiran, P., Edelman, B., Yang, T., Barak, B., & Zhang, H. (2019). SGD on neural networks learns functions of increasing complexity. In NeurIPS."},{"key":"2001_CR39","doi-asserted-by":"crossref","unstructured":"Kao, Y., Wang, C., & Huang, K. (2015). Visual aesthetic quality assessment with a regression model. In ICIP (pp. 1583\u20131587).","DOI":"10.1109\/ICIP.2015.7351067"},{"issue":"3\/4","key":"2001_CR40","doi-asserted-by":"publisher","first-page":"324","DOI":"10.2307\/2332613","volume":"31","author":"MG Kendall","year":"1940","unstructured":"Kendall, M. G., & Smith, B. B. (1940). On the method of paired comparisons. Biometrika, 31(3\/4), 324\u2013345.","journal-title":"Biometrika"},{"issue":"1","key":"2001_CR41","doi-asserted-by":"publisher","first-page":"206","DOI":"10.1109\/JSTSP.2016.2639328","volume":"11","author":"J Kim","year":"2016","unstructured":"Kim, J., & Lee, S. (2016). Fully deep blind image quality predictor. IEEE Journal of Selected Topics in Signal Processing, 11(1), 206\u2013220.","journal-title":"IEEE Journal of Selected Topics in Signal Processing"},{"key":"2001_CR42","doi-asserted-by":"crossref","unstructured":"Kim, J., & Lee, S. (2017). Deep learning of human visual sensitivity in image quality assessment framework. In CVPR (pp. 1676\u20131684).","DOI":"10.1109\/CVPR.2017.213"},{"key":"2001_CR43","unstructured":"Kingma, D. P., & Ba, J. (2015). Adam: A method for stochastic optimization. In ICLR."},{"key":"2001_CR44","unstructured":"Kingma, D. P., & Welling, M. (2014). Auto-encoding variational Bayes. In ICLR."},{"key":"2001_CR45","unstructured":"Koh, P. W., & Liang, P. (2017). Understanding black-box predictions via influence functions. In ICML (pp. 1885\u20131894)."},{"issue":"4","key":"2001_CR46","doi-asserted-by":"publisher","first-page":"1","DOI":"10.1145\/2010324.1964922","volume":"30","author":"YJ Lee","year":"2011","unstructured":"Lee, Y. J., Zitnick, C. L., & Cohen, M. F. (2011). Shadowdraw: Real-time user guidance for freehand drawing. ACM Transactions on Graphics (Proc SIGGRAPH), 30(4), 1\u201310.","journal-title":"ACM Transactions on Graphics (Proc SIGGRAPH)"},{"key":"2001_CR47","doi-asserted-by":"crossref","unstructured":"Li, K., Pang, K., Song, J., Song, Y.-Z., Xiang, T., Hospedales, T. M., & Zhang, H. (2018). Universal sketch perceptual grouping. In ECCV (pp. 582\u2013597).","DOI":"10.1007\/978-3-030-01237-3_36"},{"key":"2001_CR48","doi-asserted-by":"crossref","unstructured":"Li, Y., Du, Y., Zhou, K., Wang, J., Zhao, W. X., & Wen, J. R. (2023). Evaluating object hallucination in large vision-language models. arXiv:2305.10355","DOI":"10.18653\/v1\/2023.emnlp-main.20"},{"key":"2001_CR49","doi-asserted-by":"crossref","unstructured":"Liang, L., & Grauman, K. (2014). Beyond comparing image pairs: Setwise active learning for relative attributes. In CVPR (pp. 208\u2013215).","DOI":"10.1109\/CVPR.2014.34"},{"key":"2001_CR50","doi-asserted-by":"crossref","unstructured":"Lin, H., Fu, Y., Xue, X., & Jiang, Y.-G. (2020). Sketch-bert: Learning sketch bidirectional encoder representation from transformers by self-supervised learning of sketch gestalt. In CVPR (pp. 6758\u20136767).","DOI":"10.1109\/CVPR42600.2020.00679"},{"key":"2001_CR51","doi-asserted-by":"crossref","unstructured":"Liu, B., Deng, W., Zhong, Y., Wang, M., Hu, J., Tao, X., & Huang, Y. (2019a). Fair loss: Margin-aware reinforcement learning for deep face recognition. In: ICCV (pp. 10052\u201310061).","DOI":"10.1109\/ICCV.2019.01015"},{"key":"2001_CR52","doi-asserted-by":"crossref","unstructured":"Liu, F., Deng, X., Lai, Y. K., Liu, Y.-J., Ma, C., & Wang, H. (2019b). Sketchgan: Joint sketch completion and recognition with generative adversarial network. In CVPR (pp. 5830\u20135839).","DOI":"10.1109\/CVPR.2019.00598"},{"key":"2001_CR53","doi-asserted-by":"crossref","unstructured":"Liu, F., Zou, C., Deng, X., Zuo, R., Lai, Y.-K., Ma, C., Liu, Y.-J., & Wang, H. (2020). Scenesketcher: Fine-grained image retrieval with scene sketches. In ECCV (pp. 718\u2013734).","DOI":"10.1007\/978-3-030-58529-7_42"},{"key":"2001_CR54","unstructured":"Liu, H., Li, C., Wu, Q., & Lee, Y. J. (2023). Visual instruction tuning. arXiv:2304.08485"},{"key":"2001_CR55","doi-asserted-by":"crossref","unstructured":"Liu, T. Y., et al. (2009). Learning to rank for information retrieval. Foundations and Trends \u00ae in Information Retrieval, 3(3), 225\u2013331.","DOI":"10.1561\/1500000016"},{"key":"2001_CR56","doi-asserted-by":"crossref","unstructured":"Liu, W., Wen, Y., Yu, Z., Li, M., Raj, B., & Song, L. (2017a). Sphereface: Deep hypersphere embedding for face recognition. In CVPR (pp. 212\u2013220).","DOI":"10.1109\/CVPR.2017.713"},{"key":"2001_CR57","doi-asserted-by":"crossref","unstructured":"Liu, X., Van De Weijer, J., & Bagdanov, A. D. (2017b). Rankiqa: Learning from rankings for no-reference image quality assessment. In ICCV (pp. 1040\u20131049).","DOI":"10.1109\/ICCV.2017.118"},{"key":"2001_CR58","doi-asserted-by":"crossref","unstructured":"Liu, Z., Mao, H., Wu, C. Y., Feichtenhofer, C., Darrell, T., & Xie, S. (2022). A convnet for the 2020s. In CVPR (pp. 11976\u201311986).","DOI":"10.1109\/CVPR52688.2022.01167"},{"key":"2001_CR59","unstructured":"Loshchilov, I., & Hutter, F. (2017). Sgdr: Stochastic gradient descent with warm restarts. In ICLR."},{"issue":"8","key":"2001_CR60","doi-asserted-by":"publisher","first-page":"3951","DOI":"10.1109\/TIP.2017.2708503","volume":"26","author":"K Ma","year":"2017","unstructured":"Ma, K., Liu, W., Liu, T., Wang, Z., & Tao, D. (2017). dipiq: Blind image quality assessment by learning-to-rank discriminable image pairs. IEEE Transactions on Image Processing, 26(8), 3951\u20133964.","journal-title":"IEEE Transactions on Image Processing"},{"issue":"3","key":"2001_CR61","doi-asserted-by":"publisher","first-page":"1202","DOI":"10.1109\/TIP.2017.2774045","volume":"27","author":"K Ma","year":"2017","unstructured":"Ma, K., Liu, W., Zhang, K., Duanmu, Z., Wang, Z., & Zuo, W. (2017). End-to-end blind image quality assessment using deep neural networks. IEEE Transactions on Image Processing, 27(3), 1202\u20131213.","journal-title":"IEEE Transactions on Image Processing"},{"key":"2001_CR62","doi-asserted-by":"crossref","unstructured":"Ma, Y., Xiong, T., Zou, Y., & Wang, K. (2011). Person-specific age estimation under ranking framework. In ACM ICMR (pp. 1\u20137).","DOI":"10.1145\/1991996.1992034"},{"issue":"7","key":"2001_CR63","doi-asserted-by":"publisher","first-page":"1852","DOI":"10.1109\/TVCG.2016.2554113","volume":"23","author":"Y Matsui","year":"2016","unstructured":"Matsui, Y., Shiratori, T., & Aizawa, K. (2016). Drawfromdrawings: 2d drawing assistance via stroke interpolation with a sketch database. IEEE Transactions on Visualization and Computer Graphics, 23(7), 1852\u20131862.","journal-title":"IEEE Transactions on Visualization and Computer Graphics"},{"key":"2001_CR64","doi-asserted-by":"crossref","unstructured":"Meng, Q., Zhao, S., Huang, Z., & Zhou, F. (2021). Magface: A universal representation for face recognition and quality assessment. In CVPR (pp. 14225\u201314234).","DOI":"10.1109\/CVPR46437.2021.01400"},{"issue":"12","key":"2001_CR65","doi-asserted-by":"publisher","first-page":"4695","DOI":"10.1109\/TIP.2012.2214050","volume":"21","author":"A Mittal","year":"2012","unstructured":"Mittal, A., Moorthy, A. K., & Bovik, A. C. (2012). No-reference image quality assessment in the spatial domain. IEEE Transactions on Image Processing, 21(12), 4695\u20134708.","journal-title":"IEEE Transactions on Image Processing"},{"key":"2001_CR66","doi-asserted-by":"crossref","unstructured":"Muhammad, U. R., Yang, Y., Song, Y. Z., Xiang, T., & Hospedales, T. M. (2018). Learning deep sketch abstraction. In CVPR (pp. 8014\u20138023).","DOI":"10.1109\/CVPR.2018.00836"},{"key":"2001_CR67","doi-asserted-by":"crossref","unstructured":"Murray, N., Marchesotti, L., & Perronnin, F. (2012). AVA: A large-scale database for aesthetic visual analysis. In CVPR (pp. 2408\u20132415).","DOI":"10.1109\/CVPR.2012.6247954"},{"key":"2001_CR68","doi-asserted-by":"crossref","unstructured":"Pang, K., Li, K., Yang, Y., Zhang, H., Hospedales, T. M., Xiang, T, & Song, Y.-Z. (2019). Generalising fine-grained sketch-based image retrieval. In CVPR (pp. 677\u2013686).","DOI":"10.1109\/CVPR.2019.00077"},{"key":"2001_CR69","doi-asserted-by":"crossref","unstructured":"Pang, K., Yang, Y., Hospedales, T. M., Xiang, T., & Song, Y.-Z. (2020). Solving mixed-modal jigsaw puzzle for fine-grained sketch-based image retrieval. In CVPR (pp. 10347\u201310355).","DOI":"10.1109\/CVPR42600.2020.01036"},{"issue":"1","key":"2001_CR70","first-page":"37","volume":"2","author":"D Powers","year":"2011","unstructured":"Powers, D. (2011). Evaluation: From precision, recall and F-measure to ROC, informedness, markedness & correlation. Journal of Machine Learning Technologies, 2(1), 37\u201363.","journal-title":"Journal of Machine Learning Technologies"},{"key":"2001_CR71","doi-asserted-by":"crossref","unstructured":"Qu, Z., Gryaditskaya, Y., Li, K., Pang, K., Xiang, T., & Song, Y.-Z., (2023). Sketchxai: A first look at explainability for human sketches. In CVPR (pp. 23327\u201323337).","DOI":"10.1109\/CVPR52729.2023.02234"},{"key":"2001_CR72","unstructured":"Radford, A., Kim, J. W., Hallacy, C., Ramesh, A., Goh, G., Agarwal, S., Sastry, G., Askell, A., Mishkin, P., Clark, J., & Krueger, G. (2021). Learning transferable visual models from natural language supervision. In ICML (pp. 8748\u20138763)."},{"key":"2001_CR73","unstructured":"Ren, M., Zeng, W., Yang, B., & Urtasun, R. (2018). Learning to reweight examples for robust deep learning. In ICML (pp. 4334\u20134343)."},{"key":"2001_CR74","unstructured":"Ribeiro, L. S. F., Bui, T., Collomosse, J., & Ponti, M. (2020). Sketchformer: Transformer-based representation for sketched structure. In CVPR (pp. 14153\u201314162)."},{"key":"2001_CR75","doi-asserted-by":"crossref","unstructured":"Rombach, R., Blattmann, A., Lorenz, D., Esser, P., & Ommer, B. (2022). High-resolution image synthesis with latent diffusion models. In CVPR (pp. 10684\u201310695).","DOI":"10.1109\/CVPR52688.2022.01042"},{"issue":"8","key":"2001_CR76","doi-asserted-by":"publisher","first-page":"3339","DOI":"10.1109\/TIP.2012.2191563","volume":"21","author":"MA Saad","year":"2012","unstructured":"Saad, M. A., Bovik, A. C., & Charrier, C. (2012). Blind image quality assessment: A natural scene statistics approach in the DCT domain. IEEE Transactions on Image Processing, 21(8), 3339\u20133352.","journal-title":"IEEE Transactions on Image Processing"},{"key":"2001_CR77","doi-asserted-by":"crossref","unstructured":"Sain, A., Bhunia, A. K. , Yang, Y., Xiang, T., & Song, Y.-Z. (2021). Stylemeup: Towards style-agnostic sketch-based image retrieval. In CVPR (pp. 8504\u20138513).","DOI":"10.1109\/CVPR46437.2021.00840"},{"issue":"4","key":"2001_CR78","doi-asserted-by":"publisher","first-page":"1","DOI":"10.1145\/2897824.2925954","volume":"35","author":"P Sangkloy","year":"2016","unstructured":"Sangkloy, P., Burnell, N., Ham, C., & Hays, J. (2016). The sketchy database: Learning to retrieve badly drawn bunnies. ACM Transactions on Graphics (Proc SIGGRAPH), 35(4), 1\u201312.","journal-title":"ACM Transactions on Graphics (Proc SIGGRAPH)"},{"key":"2001_CR79","doi-asserted-by":"crossref","unstructured":"Sangkloy, P., Lu, J., Fang, C., Yu, F., & Hays, J. (2017). Scribbler: Controlling deep image synthesis with sketch and color. In CVPR (pp. 5400\u20135409).","DOI":"10.1109\/CVPR.2017.723"},{"key":"2001_CR80","doi-asserted-by":"crossref","unstructured":"Sarvadevabhatla, R. K., & Kundu, J. (2016). Enabling my robot to play pictionary: Recurrent neural networks for sketch recognition. In ACM MM (pp. 247\u2013251).","DOI":"10.1145\/2964284.2967220"},{"key":"2001_CR81","doi-asserted-by":"crossref","unstructured":"Sarvadevabhatla, R. K., Dwivedi, I., Biswas, A., & Manocha, S. (2017). Sketchparse: Towards rich descriptions for poorly drawn sketches using multi-task hierarchical deep networks. In ACM MM (pp. 10\u201318).","DOI":"10.1145\/3123266.3123270"},{"issue":"6","key":"2001_CR82","doi-asserted-by":"publisher","first-page":"1","DOI":"10.1145\/2661229.2661231","volume":"33","author":"RG Schneider","year":"2014","unstructured":"Schneider, R. G., & Tuytelaars, T. (2014). Sketch classification and classification-driven analysis using fisher vectors. ACM Transactions on Graphics (Proc SIGGRAPH Asia), 33(6), 1\u20139.","journal-title":"ACM Transactions on Graphics (Proc SIGGRAPH Asia)"},{"key":"2001_CR83","doi-asserted-by":"crossref","unstructured":"She, D., Lai, Y. K., Yi, G., & Xu, K. (2021). Hierarchical layout-aware graph convolutional network for unified aesthetics assessment. In CVPR (pp. 8475\u20138484).","DOI":"10.1109\/CVPR46437.2021.00837"},{"key":"2001_CR84","doi-asserted-by":"crossref","unstructured":"Shi, Y., Cao, N., Ma, X., Chen, S., & Liu, P. (2020). Emog: Supporting the sketching of emotional expressions for storyboarding. In CHI (pp. 1\u201312).","DOI":"10.1145\/3313831.3376520"},{"key":"2001_CR85","unstructured":"Shu, J., Xie, Q., Yi, L., Zhao, Q., Zhou, S., Xu, Z., & Meng, D. (2019). Meta-weight-net: Learning an explicit mapping for sample weighting. In NeurIPS."},{"key":"2001_CR86","unstructured":"Simonyan, K., & Zisserman, A. (2015). Very deep convolutional networks for large-scale image recognition. In ICLR."},{"key":"2001_CR87","doi-asserted-by":"crossref","unstructured":"Song, J., Pang, K., Song, Y. Z., Xiang, T., & Hospedales, T. M. (2018). Learning to sketch with shortcut cycle consistency. In CVPR (pp. 801\u2013810).","DOI":"10.1109\/CVPR.2018.00090"},{"key":"2001_CR88","unstructured":"Su, G., Qi, Y., Pang, K., Yang, J., & Song, Y.-Z. (2020a). Sketchhealer: A graph-to-sequence network for recreating partial human sketches. In BMVC (pp. 1\u201314)."},{"key":"2001_CR89","doi-asserted-by":"crossref","unstructured":"Su, S., Yan, Q., Zhu, Y., Zhang, C., Ge, X., Sun, J., & Zhang, Y. (2020b). Blindly assess image quality in the wild guided by a self-adaptive hyper network. In CVPR (pp. 3667\u20133676).","DOI":"10.1109\/CVPR42600.2020.00372"},{"issue":"8","key":"2001_CR90","doi-asserted-by":"publisher","first-page":"3998","DOI":"10.1109\/TIP.2018.2831899","volume":"27","author":"H Talebi","year":"2018","unstructured":"Talebi, H., & Milanfar, P. (2018). NIMA: Neural image assessment. IEEE Transactions on Image Processing, 27(8), 3998\u20134011.","journal-title":"IEEE Transactions on Image Processing"},{"issue":"2","key":"2001_CR91","doi-asserted-by":"publisher","first-page":"266","DOI":"10.1037\/0033-295X.101.2.266","volume":"101","author":"LL Thurstone","year":"1927","unstructured":"Thurstone, L. L. (1927). A law of comparative judgment. Psychology Review, 101(2), 266.","journal-title":"Psychology Review"},{"key":"2001_CR92","unstructured":"Vaswani, A., Shazeer, N., Parmar, N., Uszkoreit, J., Jones, L., Gomez, A. N., Kaiser, \u0141., & Polosukhin, I. (2017). Attention is all you need. In NeurIPS."},{"key":"2001_CR93","doi-asserted-by":"crossref","unstructured":"Wan, W., Yang, Y., & Tu, W. (2021). Residual enhancement network for realistic face sketch-photo synthesis. In ICCEAI (pp. 191\u2013195).","DOI":"10.1109\/ICCEAI52939.2021.00037"},{"key":"2001_CR94","unstructured":"Wang, A., Ren, M., & Zemel, R. (2021a). Sketchembednet: Learning novel concepts by imitating drawings. In ICML (pp. 10870\u201310881)."},{"key":"2001_CR95","doi-asserted-by":"crossref","unstructured":"Wang, F., Xiang, X., Cheng, J., & Yuille, A. L. (2017). Normface: L2 hypersphere embedding for face verification. In ACM MM (pp. 1041\u20131049).","DOI":"10.1145\/3123266.3123359"},{"key":"2001_CR96","doi-asserted-by":"crossref","unstructured":"Wang, H., Wang, Y., Zhou, Z., Ji, X., Gong, D., Zhou, J., Li, Z., & Liu, W. (2018). Cosface: Large margin cosine loss for deep face recognition. In CVPR (pp. 5265\u20135274).","DOI":"10.1109\/CVPR.2018.00552"},{"key":"2001_CR97","doi-asserted-by":"crossref","unstructured":"Wang, J., Song, Y., Leung, T., Rosenberg, C., Wang, J., Philbin, J., Chen, B., & Wu, Y. (2014). Learning fine-grained image similarity with deep ranking. In CVPR (pp. 1386\u20131393).","DOI":"10.1109\/CVPR.2014.180"},{"key":"2001_CR98","doi-asserted-by":"crossref","unstructured":"Wang, S. Y., Bau, D., & Zhu, J. Y. (2021b). Sketch your own GAN. In ICCV (pp. 14050\u201314060).","DOI":"10.1109\/ICCV48922.2021.01379"},{"issue":"4","key":"2001_CR99","doi-asserted-by":"publisher","first-page":"600","DOI":"10.1109\/TIP.2003.819861","volume":"13","author":"Z Wang","year":"2004","unstructured":"Wang, Z., Bovik, A. C., Sheikh, H. R., & Simoncelli, E. P. (2004). Image quality assessment: From error visibility to structural similarity. IEEE Transactions on Image Processing, 13(4), 600\u2013612.","journal-title":"IEEE Transactions on Image Processing"},{"key":"2001_CR100","doi-asserted-by":"crossref","unstructured":"Wang, Z., Wang, H., Chen, T., Wang, Z., & Ma, K. (2021c). Troubleshooting blind image quality models in the wild. In CVPR (pp. 16256\u201316265).","DOI":"10.1109\/CVPR46437.2021.01599"},{"key":"2001_CR101","doi-asserted-by":"publisher","first-page":"7414","DOI":"10.1109\/TIP.2020.3002478","volume":"29","author":"J Wu","year":"2020","unstructured":"Wu, J., Ma, J., Liang, F., Dong, W., Shi, G., & Lin, W. (2020). End-to-end blind image quality prediction with cascaded deep neural network. IEEE Transactions on Image Processing, 29, 7414\u20137426.","journal-title":"IEEE Transactions on Image Processing"},{"key":"2001_CR102","doi-asserted-by":"crossref","unstructured":"Wu, J., Zeng, J., Liu, Y., Shi, G., & Lin, W. (2017). Hierarchical feature degradation based blind image quality assessment. In ICCV Workshop.","DOI":"10.1109\/ICCVW.2017.67"},{"key":"2001_CR103","unstructured":"Wu, O., Hu, W., & Gao, J. (2011). Learning to predict the perceived visual quality of photos. In ICCV (pp. 225\u2013232)."},{"key":"2001_CR104","doi-asserted-by":"crossref","unstructured":"Wu, Q., Liu, Y., Zhao, H., Kale, A., Bui, T., Yu, T., Lin, Z., Zhang, Y., & Chang, S. (2023). Uncovering the disentanglement capability in text-to-image diffusion models. In CVPR (pp. 1900\u20131910).","DOI":"10.1109\/CVPR52729.2023.00189"},{"key":"2001_CR105","unstructured":"Xiao, T., Xia, T., Yang, Y., Huang, C., & Wang, X. (2015). Learning from massive noisy labeled data for image classification. In CVPR (pp. 2691\u20132699)."},{"key":"2001_CR106","doi-asserted-by":"crossref","unstructured":"Xie, J., Hertzmann, A., Li, W., & Winnem\u00f6ller, H. (2014). Portraitsketch: Face sketching assistance for novices. In ACM UIST (pp. 407\u2013417).","DOI":"10.1145\/2642918.2647399"},{"key":"2001_CR107","doi-asserted-by":"crossref","unstructured":"Xu, P., Huang, Y., Yuan, T., Pang, K., Song, Y.-Z., Xiang, T., Hospedales, T. M., Ma, Z, & Guo, J. (2018). Sketchmate: Deep hashing for million-scale human sketch retrieval. In CVPR (pp. 8090\u20138098).","DOI":"10.1109\/CVPR.2018.00844"},{"issue":"5","key":"2001_CR108","doi-asserted-by":"publisher","first-page":"2200","DOI":"10.1109\/TIP.2018.2883741","volume":"28","author":"Q Yan","year":"2019","unstructured":"Yan, Q., Gong, D., & Zhang, Y. (2019). Two-stream convolutional networks for blind image quality assessment. IEEE Transactions on Image Processing, 28(5), 2200\u20132211.","journal-title":"IEEE Transactions on Image Processing"},{"key":"2001_CR109","doi-asserted-by":"crossref","unstructured":"Yang, L., Pang, K., Zhang, H., Song, Y.-Z. (2021a). Sketchaa: Abstract representation for abstract sketch. In ICCV (pp. 10097\u201310106).","DOI":"10.1109\/ICCV48922.2021.00994"},{"key":"2001_CR110","doi-asserted-by":"crossref","unstructured":"Yang, L., Pang, K., Zhang, H., & Song, Y.-Z. (2022). Finding badly drawn bunnies. In CVPR (pp. 7482\u20137491).","DOI":"10.1109\/CVPR52688.2022.00733"},{"issue":"3","key":"2001_CR111","doi-asserted-by":"publisher","first-page":"1","DOI":"10.1145\/3450284","volume":"40","author":"L Yang","year":"2021","unstructured":"Yang, L., Zhuang, J., Fu, H., Wei, X., Zhou, K., & Zheng, Y. (2021). Sketchgnn: Semantic sketch segmentation with graph neural networks. ACM Transactions on Graphics, 40(3), 1\u201313.","journal-title":"ACM Transactions on Graphics"},{"key":"2001_CR112","unstructured":"Yang, Y., Morillo, I. G., & Hospedales, T. M. (2018). Deep neural decision trees. In ICML Workshop."},{"key":"2001_CR113","doi-asserted-by":"crossref","unstructured":"Yelamarthi, S. K., Reddy, S. K., Mishra, A., & Mittal, A. (2018). A zero-shot framework for sketch based image retrieval. In ECCV (pp. 300\u2013317).","DOI":"10.1007\/978-3-030-01225-0_19"},{"key":"2001_CR114","doi-asserted-by":"crossref","unstructured":"Ying, Z., Niu, H., Gupta, P., Mahajan, D., Ghadiyaram, D., & Bovik, A. (2020). From patches to pictures (paq-2-piq): Mapping the perceptual space of picture quality. In CVPR (pp. 3575\u20133585).","DOI":"10.1109\/CVPR42600.2020.00363"},{"key":"2001_CR115","doi-asserted-by":"crossref","unstructured":"You, J., & Korhonen, J. (2021). Transformer for image quality assessment. In ICIP (pp. 1389\u20131393).","DOI":"10.1109\/ICIP42928.2021.9506075"},{"key":"2001_CR116","doi-asserted-by":"publisher","first-page":"411","DOI":"10.1007\/s11263-016-0932-3","volume":"122","author":"Q Yu","year":"2017","unstructured":"Yu, Q., Yang, Y., Liu, F., Song, Y.-Z., Xiang, T., & Hospedales, T. M. (2017). Sketch-a-net: A deep neural network that beats humans. International Journal of Computer Vision, 122, 411\u2013425.","journal-title":"International Journal of Computer Vision"},{"key":"2001_CR117","doi-asserted-by":"crossref","unstructured":"Zeng, H., Zhang, L., & Bovik, A. C. (2018). Blind image quality assessment with a probabilistic quality representation. In ICIP (pp. 609\u2013613).","DOI":"10.1109\/ICIP.2018.8451285"},{"key":"2001_CR118","doi-asserted-by":"crossref","unstructured":"Zhang, L., Rao, A., & Agrawala, M. (2023). Adding conditional control to text-to-image diffusion models. In ICCV (pp. 3836\u20133847).","DOI":"10.1109\/ICCV51070.2023.00355"},{"issue":"8","key":"2001_CR119","doi-asserted-by":"publisher","first-page":"2579","DOI":"10.1109\/TIP.2015.2426416","volume":"24","author":"L Zhang","year":"2015","unstructured":"Zhang, L., Zhang, L., & Bovik, A. C. (2015). A feature-enriched completely blind image quality evaluator. IEEE Transactions on Image Processing, 24(8), 2579\u20132591.","journal-title":"IEEE Transactions on Image Processing"},{"key":"2001_CR120","doi-asserted-by":"crossref","unstructured":"Zhang, R., Isola, P., Efros, A. A., Shechtman, E., & Wang, O. (2018a). The unreasonable effectiveness of deep features as a perceptual metric. In CVPR (pp. 586\u2013595).","DOI":"10.1109\/CVPR.2018.00068"},{"issue":"1","key":"2001_CR121","doi-asserted-by":"publisher","first-page":"36","DOI":"10.1109\/TCSVT.2018.2886771","volume":"30","author":"W Zhang","year":"2018","unstructured":"Zhang, W., Ma, K., Yan, J., Deng, D., & Wang, Z. (2018). Blind image quality assessment using a deep bilinear convolutional neural network. IEEE Transactions on Circuits and Systems for Video Technology, 30(1), 36\u201347.","journal-title":"IEEE Transactions on Circuits and Systems for Video Technology"},{"key":"2001_CR122","doi-asserted-by":"publisher","first-page":"3474","DOI":"10.1109\/TIP.2021.3061932","volume":"30","author":"W Zhang","year":"2021","unstructured":"Zhang, W., Ma, K., Zhai, G., & Yang, X. (2021). Uncertainty-aware blind image quality assessment in the laboratory and wild. IEEE Transactions on Image Processing, 30, 3474\u20133486.","journal-title":"IEEE Transactions on Image Processing"},{"issue":"5","key":"2001_CR123","doi-asserted-by":"publisher","first-page":"2746","DOI":"10.1109\/TCSVT.2021.3096528","volume":"32","author":"X Zhang","year":"2021","unstructured":"Zhang, X., Lin, W., & Huang, Q. (2021). Fine-grained image quality assessment: A revisit and further thinking. IEEE Transactions on Circuits and Systems for Video Technology, 32(5), 2746\u20132759.","journal-title":"IEEE Transactions on Circuits and Systems for Video Technology"},{"key":"2001_CR124","doi-asserted-by":"crossref","unstructured":"Zhu, H., Li, L., Wu, J., Dong, W., & Shi, G. (2020a). Metaiqa: Deep meta-learning for no-reference image quality assessment. In CVPR (pp. 14143\u201314152).","DOI":"10.1109\/CVPR42600.2020.01415"},{"key":"2001_CR125","doi-asserted-by":"crossref","unstructured":"Zhu, J. Y., Kr\u00e4henb\u00fchl, P., Shechtman, E., & Efros, A. A. (2016). Generative visual manipulation on the natural image manifold. In ECCV (pp. 597\u2013613).","DOI":"10.1007\/978-3-319-46454-1_36"},{"issue":"2","key":"2001_CR126","doi-asserted-by":"publisher","first-page":"893","DOI":"10.1109\/TNNLS.2020.3030536","volume":"33","author":"M Zhu","year":"2020","unstructured":"Zhu, M., Li, J., Wang, N., & Gao, X. (2020). Knowledge distillation for face photo-sketch synthesis. IEEE Transactions on Neural Networks and Learning Systems, 33(2), 893\u2013906.","journal-title":"IEEE Transactions on Neural Networks and Learning Systems"},{"key":"2001_CR127","doi-asserted-by":"publisher","first-page":"1820","DOI":"10.1007\/s11263-021-01442-2","volume":"129","author":"M Zhu","year":"2021","unstructured":"Zhu, M., Li, J., Wang, N., & Gao, X. (2021). Learning deep patch representation for probabilistic graphical model-based face sketch synthesis. International Journal of Computer Vision, 129, 1820\u20131836.","journal-title":"International Journal of Computer Vision"}],"container-title":["International Journal of Computer Vision"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/s11263-024-02001-1.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/article\/10.1007\/s11263-024-02001-1\/fulltext.html","content-type":"text\/html","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/s11263-024-02001-1.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,7,11]],"date-time":"2024-07-11T14:08:39Z","timestamp":1720706919000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/s11263-024-02001-1"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2024,2,17]]},"references-count":127,"journal-issue":{"issue":"8","published-print":{"date-parts":[[2024,8]]}},"alternative-id":["2001"],"URL":"https:\/\/doi.org\/10.1007\/s11263-024-02001-1","relation":{},"ISSN":["0920-5691","1573-1405"],"issn-type":[{"value":"0920-5691","type":"print"},{"value":"1573-1405","type":"electronic"}],"subject":[],"published":{"date-parts":[[2024,2,17]]},"assertion":[{"value":"17 March 2023","order":1,"name":"received","label":"Received","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"9 January 2024","order":2,"name":"accepted","label":"Accepted","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"17 February 2024","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 have no competing interests to declare that are relevant to the content of this article.","order":2,"name":"Ethics","group":{"name":"EthicsHeading","label":"Conflict of interest"}}]}}