{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,12,23]],"date-time":"2025-12-23T10:02:25Z","timestamp":1766484145417},"reference-count":38,"publisher":"Springer Science and Business Media LLC","issue":"12","license":[{"start":{"date-parts":[[2019,11,11]],"date-time":"2019-11-11T00:00:00Z","timestamp":1573430400000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"},{"start":{"date-parts":[[2019,11,11]],"date-time":"2019-11-11T00:00:00Z","timestamp":1573430400000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":["Sci. China Inf. Sci."],"published-print":{"date-parts":[[2019,12]]},"DOI":"10.1007\/s11432-019-9935-6","type":"journal-article","created":{"date-parts":[[2019,11,15]],"date-time":"2019-11-15T02:01:52Z","timestamp":1573783312000},"update-policy":"http:\/\/dx.doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":18,"title":["Feature context learning for human parsing"],"prefix":"10.1007","volume":"62","author":[{"given":"Tengteng","family":"Huang","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Yongchao","family":"Xu","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Song","family":"Bai","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Yongpan","family":"Wang","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Xiang","family":"Bai","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","published-online":{"date-parts":[[2019,11,11]]},"reference":[{"key":"9935_CR1","doi-asserted-by":"crossref","unstructured":"Gan C, Lin M, Yang Y, et al. Concepts not alone: exploring pairwise relationships for zero-shot video activity recognition. In: Proceedings of the AAAI Conference on Artificial Intelligence, 2016. 3487\u20133493","DOI":"10.1609\/aaai.v30i1.10466"},{"key":"9935_CR2","doi-asserted-by":"crossref","unstructured":"Han X, Wu Z X, Wu Z, et al. Viton: an image-based virtual try-on network. In: Proceedings of IEEE International Conference on Computer Vision and Pattern Recognition, 2018. 7543\u20137552","DOI":"10.1109\/CVPR.2018.00787"},{"key":"9935_CR3","doi-asserted-by":"crossref","unstructured":"Kalayeh M M, Basaran E, G\u00f6kmen M, et al. Human semantic parsing for person re-identification. In: Proceedings of IEEE International Conference on Computer Vision and Pattern Recognition, 2018. 1062\u20131071","DOI":"10.1109\/CVPR.2018.00117"},{"key":"9935_CR4","doi-asserted-by":"crossref","unstructured":"Long J, Shelhamer E, Darrell T. Fully convolutional networks for semantic segmentation. In: Proceedings of IEEE International Conference on Computer Vision and Pattern Recognition, 2015. 3431\u20133440","DOI":"10.1109\/CVPR.2015.7298965"},{"key":"9935_CR5","doi-asserted-by":"crossref","unstructured":"Zhao H S, Shi J P, Qi X J, et al. Pyramid scene parsing network. In: Proceedings of IEEE International Conference on Computer Vision and Pattern Recognition, 2017. 2881\u20132890","DOI":"10.1109\/CVPR.2017.660"},{"key":"9935_CR6","doi-asserted-by":"crossref","unstructured":"Zhou Y Y, Wang Y, Tang P, et al. Semi-supervised 3D abdominal multi-organ segmentation via deep multi-planar co-training. In: Proceedings of 2019 IEEE Winter Conference on Applications of Computer Vision (WACV), 2019. 121\u2013140","DOI":"10.1109\/WACV.2019.00020"},{"key":"9935_CR7","doi-asserted-by":"crossref","unstructured":"Luo Y W, Zheng Z D, Zheng L, et al. Macro-micro adversarial network for human parsing. In: Proceedings of European Conference on Computer Vision, 2018. 418\u2013434","DOI":"10.1007\/978-3-030-01240-3_26"},{"key":"9935_CR8","doi-asserted-by":"publisher","first-page":"834","DOI":"10.1109\/TPAMI.2017.2699184","volume":"40","author":"L C Chen","year":"2018","unstructured":"Chen L C, Papandreou G, Kokkinos I, et al. DeepLab: semantic image segmentation with deep convolutional nets, atrous convolution, and fully connected CRFs. IEEE Trans Pattern Anal Mach Intell, 2018, 40: 834\u2013848","journal-title":"IEEE Trans Pattern Anal Mach Intell"},{"key":"9935_CR9","doi-asserted-by":"crossref","unstructured":"Nie X C, Feng J S, Yan S C. Mutual learning to adapt for joint human parsing and pose estimation. In: Proceedings of European Conference on Computer Vision, 2018. 502\u2013517","DOI":"10.1007\/978-3-030-01228-1_31"},{"key":"9935_CR10","doi-asserted-by":"crossref","unstructured":"Gong K, Liang X D, Li Y C, et al. Instance-level human parsing via part grouping network. In: Proceedings of European Conference on Computer Vision, 2018. 770\u2013785","DOI":"10.1007\/978-3-030-01225-0_47"},{"key":"9935_CR11","unstructured":"Liu T, Ruan T, Huang Z, et al. Devil in the details: towards accurate single and multiple human parsing. 2018. ArXiv: 1809.05996"},{"key":"9935_CR12","unstructured":"Kipf T N, Welling M. Semi-supervised classification with graph convolutional networks. 2016. ArXiv: 1609.02907"},{"key":"9935_CR13","unstructured":"Veli\u010dkovi\u0107 P, Cucurull G, Casanova A, et al. Graph attention networks. 2017. ArXiv: 1710.10903"},{"key":"9935_CR14","doi-asserted-by":"crossref","unstructured":"Xia F T, Wang P, Chen X J, et al. Joint multi-person pose estimation and semantic part segmentation. In: Proceedings of IEEE International Conference on Computer Vision and Pattern Recognition, 2017. 6769\u20136778","DOI":"10.1109\/CVPR.2017.644"},{"key":"9935_CR15","doi-asserted-by":"crossref","unstructured":"Fang H-S, Lu G S, Fang X L, et al. Weakly and semi supervised human body part parsing via pose-guided knowledge transfer. In: Proceedings of IEEE International Conference on Computer Vision and Pattern Recognition, 2018","DOI":"10.1109\/CVPR.2018.00015"},{"key":"9935_CR16","doi-asserted-by":"crossref","unstructured":"Liu S, Sun Y, Zhu D F, et al. Cross-domain human parsing via adversarial feature and label adaptation. 2018. ArXiv: 1801.01260","DOI":"10.1609\/aaai.v32i1.12320"},{"key":"9935_CR17","doi-asserted-by":"publisher","first-page":"871","DOI":"10.1109\/TPAMI.2018.2820063","volume":"41","author":"X Liang","year":"2019","unstructured":"Liang X, Gong K, Shen X, et al. Look into person: joint body parsing & pose estimation network and a new benchmark. IEEE Trans Pattern Anal Mach Intell, 2019, 41: 871\u2013885","journal-title":"IEEE Trans Pattern Anal Mach Intell"},{"key":"9935_CR18","doi-asserted-by":"crossref","unstructured":"Zhu B K, Chen Y Y, Tang M, et al. Progressive cognitive human parsing. In: Proceedings of the AAAI Conference on Artificial Intelligence, 2018","DOI":"10.1609\/aaai.v32i1.12336"},{"key":"9935_CR19","doi-asserted-by":"publisher","first-page":"018104","DOI":"10.1007\/s11432-017-9158-x","volume":"61","author":"L H Guo","year":"2018","unstructured":"Guo L H, Guo C G, Li L, et al. Two-stage local constrained sparse coding for fine-grained visual categorization. Sci China Inf Sci, 2018, 61: 018104","journal-title":"Sci China Inf Sci"},{"key":"9935_CR20","doi-asserted-by":"publisher","first-page":"109101","DOI":"10.1007\/s11432-018-9497-0","volume":"61","author":"H Q Sun","year":"2018","unstructured":"Sun H Q, Pang Y W. GlanceNets \u2014 efficient convolutional neural networks with adaptive hard example mining. Sci China Inf Sci, 2018, 61: 109101","journal-title":"Sci China Inf Sci"},{"issue":"11","key":"9935_CR21","doi-asserted-by":"publisher","first-page":"5566","DOI":"10.1109\/TIP.2019.2900589","volume":"28","author":"Yongchao Xu","year":"2019","unstructured":"Xu Y, Wang Y, Zhou W, et al. TextField: learning a deep direction field for irregular scene text detection. IEEE Trans Image Process, 2019. doi: https:\/\/doi.org\/10.1109\/TIP.2019.2900589","journal-title":"IEEE Transactions on Image Processing"},{"key":"9935_CR22","unstructured":"Kr\u00e4henb\u00fchl P, Koltun V. Efficient inference in fully connected crfs with gaussian edge potentials. In: Proceedings of Advances in Neural Information Processing Systems, 2011"},{"key":"9935_CR23","first-page":"605","volume-title":"Proceedings of 2018 European Conference on Computer Vision","author":"T-W Ke","year":"2018","unstructured":"Ke T-W, Hwang J-J, Liu Z W, et al. Adaptive affinity field for semantic segmentation. In: Proceedings of 2018 European Conference on Computer Vision. Berlin: Springer, 2018. 605\u2013621"},{"key":"9935_CR24","unstructured":"Goodfellow I, Pouget-Abadie J, Mirza M, et al. Generative adversarial nets. In: Proceedings of Advances in Neural Information Processing Systems, 2014"},{"key":"9935_CR25","doi-asserted-by":"crossref","unstructured":"Gong K, Liang X D, Zhang D Y, et al. Look into person: self-supervised structure-sensitive learning and a new benchmark for human parsing. In: Proceedings of IEEE International Conference on Computer Vision and Pattern Recognition, 2017. 932\u2013940","DOI":"10.1109\/CVPR.2017.715"},{"key":"9935_CR26","doi-asserted-by":"publisher","first-page":"112209","DOI":"10.1007\/s11432-017-9421-3","volume":"61","author":"J W Jin","year":"2018","unstructured":"Jin J W, Liu Z L, Chen C L P. Discriminative graph regularized broad learning system for image recognition. Sci China Inf Sci, 2018, 61: 112209","journal-title":"Sci China Inf Sci"},{"key":"9935_CR27","doi-asserted-by":"crossref","unstructured":"Liang X D, Lin L, Shen X H, et al. Interpretable structure-evolving LSTM. In: Proceedings of IEEE International Conference on Computer Vision and Pattern Recognition, 2017. 1010\u20131019","DOI":"10.1109\/CVPR.2017.234"},{"key":"9935_CR28","doi-asserted-by":"crossref","unstructured":"Zhang H, Dana K, Shi J P, et al. Context encoding for semantic segmentation. In: Proceedings of IEEE International Conference on Computer Vision and Pattern Recognition, 2018. 7151\u20137160","DOI":"10.1109\/CVPR.2018.00747"},{"key":"9935_CR29","doi-asserted-by":"crossref","unstructured":"Wang X L, Girshick R, Gupta A, et al. Non-local neural networks. In: Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2018. 7794\u20137803","DOI":"10.1109\/CVPR.2018.00813"},{"key":"9935_CR30","doi-asserted-by":"crossref","unstructured":"Huang Z, Wang X, Huang L, et al. Ccnet: criss-cross attention for semantic segmentation. 2018. ArXiv: 1811.11721","DOI":"10.1109\/ICCV.2019.00069"},{"key":"9935_CR31","doi-asserted-by":"crossref","unstructured":"He K M, Zhang X Y, Ren S Q, et al. Deep residual learning for image recognition. In: Proceedings of IEEE International Conference on Computer Vision and Pattern Recognition, 2016. 770\u2013778","DOI":"10.1109\/CVPR.2016.90"},{"key":"9935_CR32","doi-asserted-by":"crossref","unstructured":"Chen X J, Mottaghi R, Liu X B, et al. Detect what you can: detecting and representing objects using holistic models and body parts. In: Proceedings of IEEE International Conference on Computer Vision and Pattern Recognition, 2014. 1971\u20131978","DOI":"10.1109\/CVPR.2014.254"},{"key":"9935_CR33","doi-asserted-by":"crossref","unstructured":"Luo P, Wang X G, Tang X O. Pedestrian parsing via deep decompositional network. In: Proceedings of IEEE International Conference on Computer Vision, 2013. 2648\u20132655","DOI":"10.1109\/ICCV.2013.329"},{"key":"9935_CR34","doi-asserted-by":"crossref","unstructured":"Lin T-Y, Maire M, Belongie S, et al. Microsoft coco: common objects in context. In: Proceedings of European Conference on Computer Vision, 2014","DOI":"10.1007\/978-3-319-10602-1_48"},{"key":"9935_CR35","doi-asserted-by":"publisher","first-page":"2481","DOI":"10.1109\/TPAMI.2016.2644615","volume":"39","author":"V Badrinarayanan","year":"2017","unstructured":"Badrinarayanan V, Kendall A, Cipolla R. SegNet: a deep convolutional encoder-decoder architecture for image segmentation. IEEE Trans Pattern Anal Mach Intell, 2017, 39: 2481\u20132495","journal-title":"IEEE Trans Pattern Anal Mach Intell"},{"key":"9935_CR36","doi-asserted-by":"crossref","unstructured":"Chen L-C, Yang Y, Wang J, et al. Attention to scale: scale-aware semantic image segmentation. In: Proceedings of IEEE International Conference on Computer Vision and Pattern Recognition, 2016. 3640\u20133649","DOI":"10.1109\/CVPR.2016.396"},{"key":"9935_CR37","doi-asserted-by":"crossref","unstructured":"Liang X, Shen X, Feng J, et al. Semantic object parsing with graph LSTM. In: Proceedings of European Conference on Computer Vision, 2016","DOI":"10.1007\/978-3-319-46448-0_8"},{"key":"9935_CR38","unstructured":"Luc P, Couprie C, Chintala S, et al. Semantic segmentation using adversarial networks. In: Proceedings of NIPS Workshop, 2016"}],"container-title":["Science China Information Sciences"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/s11432-019-9935-6.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/article\/10.1007\/s11432-019-9935-6\/fulltext.html","content-type":"text\/html","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/s11432-019-9935-6.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2023,8,8]],"date-time":"2023-08-08T10:41:35Z","timestamp":1691491295000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/s11432-019-9935-6"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2019,11,11]]},"references-count":38,"journal-issue":{"issue":"12","published-print":{"date-parts":[[2019,12]]}},"alternative-id":["9935"],"URL":"https:\/\/doi.org\/10.1007\/s11432-019-9935-6","relation":{},"ISSN":["1674-733X","1869-1919"],"issn-type":[{"value":"1674-733X","type":"print"},{"value":"1869-1919","type":"electronic"}],"subject":[],"published":{"date-parts":[[2019,11,11]]},"assertion":[{"value":"3 June 2019","order":1,"name":"received","label":"Received","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"13 June 2019","order":2,"name":"accepted","label":"Accepted","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"11 November 2019","order":3,"name":"first_online","label":"First Online","group":{"name":"ArticleHistory","label":"Article History"}}],"article-number":"220101"}}