{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2024,4,22]],"date-time":"2024-04-22T13:57:25Z","timestamp":1713794245828},"reference-count":38,"publisher":"Springer Science and Business Media LLC","issue":"15","license":[{"start":{"date-parts":[[2017,11,25]],"date-time":"2017-11-25T00:00:00Z","timestamp":1511568000000},"content-version":"unspecified","delay-in-days":0,"URL":"http:\/\/www.springer.com\/tdm"}],"funder":[{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["No.61572493"],"award-info":[{"award-number":["No.61572493"]}],"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":["Grant U1536203"],"award-info":[{"award-number":["Grant U1536203"]}],"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":["Grant 61602037"],"award-info":[{"award-number":["Grant 61602037"]}],"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":["No.61572493"],"award-info":[{"award-number":["No.61572493"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":["Multimed Tools Appl"],"published-print":{"date-parts":[[2018,8]]},"DOI":"10.1007\/s11042-017-5368-4","type":"journal-article","created":{"date-parts":[[2017,11,25]],"date-time":"2017-11-25T02:49:11Z","timestamp":1511578151000},"page":"19795-19809","update-policy":"http:\/\/dx.doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":3,"title":["Human parsing by weak structural label"],"prefix":"10.1007","volume":"77","author":[{"given":"Zhiyong","family":"Chen","sequence":"first","affiliation":[]},{"given":"Si","family":"Liu","sequence":"additional","affiliation":[]},{"given":"Yanlong","family":"Zhai","sequence":"additional","affiliation":[]},{"given":"Jia","family":"Lin","sequence":"additional","affiliation":[]},{"given":"Xiaochun","family":"Cao","sequence":"additional","affiliation":[]},{"given":"Liang","family":"Yang","sequence":"additional","affiliation":[]}],"member":"297","published-online":{"date-parts":[[2017,11,25]]},"reference":[{"key":"5368_CR1","doi-asserted-by":"crossref","unstructured":"Chen H, Gallagher A, Girod B (2012) Describing clothing by semantic attributes. In: Computer vision\u2013ECCV 2012, pp 609\u2013623","DOI":"10.1007\/978-3-642-33712-3_44"},{"key":"5368_CR2","unstructured":"Chen LC, Papandreou G, Kokkinos I, Murphy K, Yuille AL (2014) Semantic image segmentation with deep convolutional nets and fully connected crfs. arXiv:\n                        1412.7062"},{"key":"5368_CR3","doi-asserted-by":"crossref","unstructured":"Chen Q, Huang J, Feris R, Brown LM, Dong J, Yan S (2015) Deep domain adaptation for describing people based on fine-grained clothing attributes. In: Proceedings of the IEEE conference on computer vision and pattern recognition, pp 5315\u20135324","DOI":"10.1109\/CVPR.2015.7299169"},{"key":"5368_CR4","doi-asserted-by":"crossref","unstructured":"Chopra S, Hadsell R, LeCun Y (2005) Learning a similarity metric discriminatively, with application to face verification. In: IEEE computer society conference on computer vision and pattern recognition, 2005. CVPR 2005, vol 1. IEEE, pp 539\u2013546","DOI":"10.1109\/CVPR.2005.202"},{"key":"5368_CR5","unstructured":"Deng Y, Luo P, Loy CC, Tang X (2015) Learning to recognize pedestrian attribute. arXiv:\n                        1501.00901"},{"key":"5368_CR6","doi-asserted-by":"crossref","unstructured":"Donahue J, Anne Hendricks L, Guadarrama S, Rohrbach M, Venugopalan S, Saenko K, Darrell T (2015) Long-term recurrent convolutional networks for visual recognition and description. In: Proceedings of the IEEE conference on computer vision and pattern recognition, pp 2625\u20132634","DOI":"10.1109\/CVPR.2015.7298878"},{"key":"5368_CR7","doi-asserted-by":"crossref","unstructured":"Girshick R (2015) Fast r-cnn. In: Proceedings of the IEEE international conference on computer vision, pp 1440\u20131448","DOI":"10.1109\/ICCV.2015.169"},{"key":"5368_CR8","doi-asserted-by":"crossref","unstructured":"Hariharan B, Arbel\u00e1ez P, Girshick R, Malik J (2015) Hypercolumns for object segmentation and fine-grained localization. In: Proceedings of the IEEE conference on computer vision and pattern recognition, pp 447\u2013456","DOI":"10.1109\/CVPR.2015.7298642"},{"key":"5368_CR9","unstructured":"Hong S, Noh H, Han B (2015) Decoupled deep neural network for semi-supervised semantic segmentation. In: Advances in neural information processing systems, pp 1495\u20131503"},{"key":"5368_CR10","unstructured":"Ioffe S, Szegedy C (2015) Batch normalization: accelerating deep network training by reducing internal covariate shift. In: International conference on machine learning, pp 448\u2013456"},{"key":"5368_CR11","doi-asserted-by":"crossref","unstructured":"Jia Y, Shelhamer E, Donahue J, Karayev S, Long J, Girshick R, Guadarrama S, Darrell T (2014) Caffe: convolutional architecture for fast feature embedding. In: Proceedings of the 22nd ACM international conference on multimedia. ACM, pp 675\u2013678","DOI":"10.1145\/2647868.2654889"},{"key":"5368_CR12","doi-asserted-by":"crossref","unstructured":"Karpathy A, Fei-Fei L (2015) Deep visual-semantic alignments for generating image descriptions. In: Proceedings of the IEEE conference on computer vision and pattern recognition, pp 3128\u20133137","DOI":"10.1109\/CVPR.2015.7298932"},{"issue":"12","key":"5368_CR13","doi-asserted-by":"crossref","first-page":"2402","DOI":"10.1109\/TPAMI.2015.2408360","volume":"37","author":"X Liang","year":"2015","unstructured":"Liang X, Liu S, Shen X, Yang J, Liu L, Dong J, Lin L, Yan S (2015) Deep human parsing with active template regression. IEEE Trans Pattern Anal Mach Intell 37(12):2402\u20132414","journal-title":"IEEE Trans Pattern Anal Mach Intell"},{"key":"5368_CR14","doi-asserted-by":"crossref","unstructured":"Liu S, Feng J, Song Z, Zhang T, Lu H, Xu C, Yan S (2012) Hi, magic closet, tell me what to wear!. In: Proceedings of the 20th ACM international conference on multimedia. ACM, pp 619\u2013628","DOI":"10.1145\/2393347.2393433"},{"key":"5368_CR15","doi-asserted-by":"crossref","unstructured":"Liu S, Song Z, Liu G, Xu C, Lu H, Yan S (2012) Street-to-shop: cross-scenario clothing retrieval via parts alignment and auxiliary set. In: IEEE conference on computer vision and pattern recognition (CVPR), 2012. IEEE, pp 3330\u20133337","DOI":"10.1145\/2393347.2396471"},{"issue":"1","key":"5368_CR16","doi-asserted-by":"crossref","first-page":"253","DOI":"10.1109\/TMM.2013.2285526","volume":"16","author":"S Liu","year":"2014","unstructured":"Liu S, Feng J, Domokos C, Xu H, Huang J, Hu Z, Yan S (2014) Fashion parsing with weak color-category labels. IEEE Trans Multimedia 16(1):253\u2013265","journal-title":"IEEE Trans Multimedia"},{"issue":"8","key":"5368_CR17","doi-asserted-by":"crossref","first-page":"1347","DOI":"10.1109\/TMM.2015.2443559","volume":"17","author":"S Liu","year":"2015","unstructured":"Liu S, Liang X, Liu L, Lu K, Lin L, Cao X, Yan S (2015) Fashion parsing with video context. IEEE Trans Multimedia 17(8):1347\u20131358","journal-title":"IEEE Trans Multimedia"},{"key":"5368_CR18","doi-asserted-by":"crossref","unstructured":"Liu S, Liang X, Liu L, Shen X, Yang J, Xu C, Lin L, Cao X, Yan S (2015) Matching-cnn meets knn: quasi-parametric human parsing. In: Proceedings of the IEEE conference on computer vision and pattern recognition, pp 1419\u20131427","DOI":"10.1109\/CVPR.2015.7298748"},{"key":"5368_CR19","unstructured":"Liu S, Wang C, Qian R, Yu H, Bao R (2016) Surveillance video parsing with single frame supervision. arXiv:\n                        1611.09587"},{"key":"5368_CR20","doi-asserted-by":"crossref","unstructured":"Long J, Shelhamer E, Darrell T (2015) Fully convolutional networks for semantic segmentation. In: Proceedings of the IEEE conference on computer vision and pattern recognition, pp 3431\u20133440","DOI":"10.1109\/CVPR.2015.7298965"},{"key":"5368_CR21","doi-asserted-by":"crossref","unstructured":"Luo P, Wang X, Tang X (2013) Pedestrian parsing via deep decompositional network. In: Proceedings of the IEEE international conference on computer vision, pp 2648\u20132655","DOI":"10.1109\/ICCV.2013.329"},{"key":"5368_CR22","doi-asserted-by":"crossref","unstructured":"Papandreou G, Chen LC, Murphy KP, Yuille AL (2015) Weakly-and semi-supervised learning of a deep convolutional network for semantic image segmentation. In: Proceedings of the IEEE international conference on computer vision, pp 1742\u20131750","DOI":"10.1109\/ICCV.2015.203"},{"key":"5368_CR23","unstructured":"Pathak D, Shelhamer E, Long J, Darrell T (2014) Fully convolutional multi-class multiple instance learning. arXiv:\n                        1412.7144"},{"key":"5368_CR24","doi-asserted-by":"crossref","unstructured":"Pathak D, Krahenbuhl P, Darrell T (2015) Constrained convolutional neural networks for weakly supervised segmentation. In: Proceedings of the IEEE international conference on computer vision, pp 1796\u20131804","DOI":"10.1109\/ICCV.2015.209"},{"key":"5368_CR25","unstructured":"Ren S, He K, Girshick R, Sun J (2015) Faster r-cnn: towards real-time object detection with region proposal networks. In: Advances in neural information processing systems, pp 91\u201399"},{"key":"5368_CR26","unstructured":"Simonyan K, Zisserman A (2014) Very deep convolutional networks for large-scale image recognition. arXiv:\n                        1409.1556"},{"key":"5368_CR27","doi-asserted-by":"crossref","unstructured":"Szegedy C, Liu W, Jia Y, Sermanet P, Reed S, Anguelov D, Erhan D, Vanhoucke V, Rabinovich A (2015) Going deeper with convolutions. In: Proceedings of the IEEE conference on computer vision and pattern recognition, pp 1\u20139","DOI":"10.1109\/CVPR.2015.7298594"},{"key":"5368_CR28","doi-asserted-by":"crossref","unstructured":"Van De Weijer J, Schmid C, Verbeek J (2007) Learning color names from real-world images. In: IEEE conference on computer vision and pattern recognition, 2007. CVPR\u201907. IEEE, pp 1\u20138","DOI":"10.1109\/CVPR.2007.383218"},{"issue":"15","key":"5368_CR29","doi-asserted-by":"crossref","first-page":"9255","DOI":"10.1007\/s11042-016-3380-8","volume":"75","author":"C Wang","year":"2016","unstructured":"Wang C, Yang H, Meinel C (2016) A deep semantic framework for multimodal representation learning. Multimedia Tools Appl 75(15):9255\u20139276","journal-title":"Multimedia Tools Appl"},{"issue":"15","key":"5368_CR30","doi-asserted-by":"crossref","first-page":"9277","DOI":"10.1007\/s11042-015-3141-0","volume":"75","author":"H Wang","year":"2016","unstructured":"Wang H, Cai Y, Chen X, Chen L (2016) Occluded vehicle detection with local connected deep model. Multimedia Tools Appl 75(15):9277\u20139293","journal-title":"Multimedia Tools Appl"},{"key":"5368_CR31","doi-asserted-by":"crossref","unstructured":"Yamaguchi K, Kiapour MH, Ortiz LE, Berg TL (2012) Parsing clothing in fashion photographs. In: IEEE conference on computer vision and pattern recognition (CVPR), 2012. IEEE, pp 3570\u20133577","DOI":"10.1109\/CVPR.2012.6248101"},{"key":"5368_CR32","doi-asserted-by":"crossref","unstructured":"Yamaguchi K, Hadi Kiapour M, Berg TL (2013) Paper doll parsing: retrieving similar styles to parse clothing items. In: Proceedings of the IEEE international conference on computer vision, pp 3519\u20133526","DOI":"10.1109\/ICCV.2013.437"},{"key":"5368_CR33","doi-asserted-by":"crossref","unstructured":"Yang W, Luo P, Lin L (2014) Clothing co-parsing by joint image segmentation and labeling. In: Proceedings of the IEEE conference on computer vision and pattern recognition, pp 3182\u20133189","DOI":"10.1109\/CVPR.2014.407"},{"key":"5368_CR34","doi-asserted-by":"crossref","unstructured":"Zhang H, Zha ZJ, Yang Y, Yan S, Gao Y, Chua TS (2013) Attribute-augmented semantic hierarchy: towards bridging semantic gap and intention gap in image retrieval. In: Proceedings of the 21st ACM international conference on multimedia. ACM, pp 33\u201342","DOI":"10.1145\/2502081.2502093"},{"key":"5368_CR35","doi-asserted-by":"crossref","unstructured":"Zhang H, Shen F, Liu W, He X, Luan H, Chua TS (2016) Discrete collaborative filtering. In: Proceedings of the 39th international ACM SIGIR conference on research and development in information retrieval. ACM, pp 325\u2013334","DOI":"10.1145\/2911451.2911502"},{"key":"5368_CR36","doi-asserted-by":"crossref","unstructured":"Zhang H, Kyaw Z, Chang SF, Chua TS (2017) Visual translation embedding network for visual relation detection. arXiv:\n                        1702.08319","DOI":"10.1109\/CVPR.2017.331"},{"key":"5368_CR37","unstructured":"Zhou B, Khosla A, Lapedriza A, Oliva A, Torralba A (2014) Object detectors emerge in deep scene cnns. arXiv:\n                        1412.6856"},{"key":"5368_CR38","unstructured":"Zhou B, Lapedriza A, Xiao J, Torralba A, Oliva A (2014) Learning deep features for scene recognition using places database. In: Advances in neural information processing systems, pp 487\u2013495"}],"container-title":["Multimedia Tools and Applications"],"original-title":[],"language":"en","link":[{"URL":"http:\/\/link.springer.com\/article\/10.1007\/s11042-017-5368-4\/fulltext.html","content-type":"text\/html","content-version":"vor","intended-application":"text-mining"},{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/s11042-017-5368-4.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/s11042-017-5368-4.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2018,8,2]],"date-time":"2018-08-02T10:42:12Z","timestamp":1533206532000},"score":1,"resource":{"primary":{"URL":"http:\/\/link.springer.com\/10.1007\/s11042-017-5368-4"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2017,11,25]]},"references-count":38,"journal-issue":{"issue":"15","published-print":{"date-parts":[[2018,8]]}},"alternative-id":["5368"],"URL":"https:\/\/doi.org\/10.1007\/s11042-017-5368-4","relation":{},"ISSN":["1380-7501","1573-7721"],"issn-type":[{"value":"1380-7501","type":"print"},{"value":"1573-7721","type":"electronic"}],"subject":[],"published":{"date-parts":[[2017,11,25]]}}}