{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,6,1]],"date-time":"2026-06-01T15:57:19Z","timestamp":1780329439011,"version":"3.54.1"},"publisher-location":"Cham","reference-count":39,"publisher":"Springer International Publishing","isbn-type":[{"value":"9783319464831","type":"print"},{"value":"9783319464848","type":"electronic"}],"license":[{"start":{"date-parts":[[2016,1,1]],"date-time":"2016-01-01T00:00:00Z","timestamp":1451606400000},"content-version":"tdm","delay-in-days":0,"URL":"http:\/\/www.springer.com\/tdm"},{"start":{"date-parts":[[2016,1,1]],"date-time":"2016-01-01T00:00:00Z","timestamp":1451606400000},"content-version":"vor","delay-in-days":0,"URL":"http:\/\/www.springer.com\/tdm"}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2016]]},"DOI":"10.1007\/978-3-319-46484-8_25","type":"book-chapter","created":{"date-parts":[[2016,9,16]],"date-time":"2016-09-16T08:35:32Z","timestamp":1474014932000},"page":"413-432","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":74,"title":["Built-in Foreground\/Background Prior for Weakly-Supervised Semantic Segmentation"],"prefix":"10.1007","author":[{"given":"Fatemehsadat","family":"Saleh","sequence":"first","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Mohammad Sadegh","family":"Aliakbarian","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Mathieu","family":"Salzmann","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Lars","family":"Petersson","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Stephen","family":"Gould","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Jose M.","family":"Alvarez","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"297","published-online":{"date-parts":[[2016,9,17]]},"reference":[{"key":"25_CR1","doi-asserted-by":"crossref","unstructured":"Long, J., Shelhamer, E., Darrell, T.: Fully convolutional networks for semantic segmentation. In: The IEEE Conference on Computer Vision and Pattern Recognition (CVPR), June 2015","DOI":"10.1109\/CVPR.2015.7298965"},{"key":"25_CR2","doi-asserted-by":"crossref","unstructured":"Noh, H., Hong, S., Han, B.: Learning deconvolution network for semantic segmentation. In: Proceedings of the IEEE International Conference on Computer Vision, pp. 1520\u20131528 (2015)","DOI":"10.1109\/ICCV.2015.178"},{"key":"25_CR3","unstructured":"Chen, L., Papandreou, G., Kokkinos, I., Murphy, K., Yuille, A.L.: Semantic image segmentation with deep convolutional nets and fully connected crfs. CoRR abs\/1412.7062 (2014)"},{"key":"25_CR4","doi-asserted-by":"crossref","unstructured":"Zheng, S., Jayasumana, S., Romera-Paredes, B., Vineet, V., Su, Z., Du, D., Huang, C., Torr, P.H.: Conditional random fields as recurrent neural networks. In: Proceedings of the IEEE International Conference on Computer Vision, pp. 1529\u20131537 (2015)","DOI":"10.1109\/ICCV.2015.179"},{"key":"25_CR5","doi-asserted-by":"crossref","unstructured":"Mostajabi, M., Yadollahpour, P., Shakhnarovich, G.: Feedforward semantic segmentation with zoom-out features. In: Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, pp. 3376\u20133385 (2015)","DOI":"10.1109\/CVPR.2015.7298959"},{"key":"25_CR6","doi-asserted-by":"crossref","unstructured":"Sharma, A., Tuzel, O., Jacobs, D.W.: Deep hierarchical parsing for semantic segmentation. In: Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, pp. 530\u2013538 (2015)","DOI":"10.1109\/CVPR.2015.7298651"},{"issue":"8","key":"25_CR7","doi-asserted-by":"publisher","first-page":"1915","DOI":"10.1109\/TPAMI.2012.231","volume":"35","author":"C Farabet","year":"2013","unstructured":"Farabet, C., Couprie, C., Najman, L., LeCun, Y.: Learning hierarchical features for scene labeling. IEEE Trans. Pattern Anal. Mach. Intell. 35(8), 1915\u20131929 (2013)","journal-title":"IEEE Trans. Pattern Anal. Mach. Intell."},{"key":"25_CR8","doi-asserted-by":"crossref","unstructured":"Pourian, N., Karthikeyan, S., Manjunath, B.: Weakly supervised graph based semantic segmentation by learning communities of image-parts. In: Proceedings of the IEEE International Conference on Computer Vision, pp. 1359\u20131367 (2015)","DOI":"10.1109\/ICCV.2015.160"},{"key":"25_CR9","doi-asserted-by":"crossref","unstructured":"Xu, J., Schwing, A., Urtasun, R.: Tell me what you see and i will show you where it is. In: Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, pp. 3190\u20133197 (2014)","DOI":"10.1109\/CVPR.2014.408"},{"key":"25_CR10","doi-asserted-by":"crossref","unstructured":"Vezhnevets, A., Ferrari, V., Buhmann, J.M.: Weakly supervised semantic segmentation with a multi-image model. In: 2011 IEEE International Conference on Computer Vision (ICCV), pp. 643\u2013650. IEEE (2011)","DOI":"10.1109\/ICCV.2011.6126299"},{"key":"25_CR11","doi-asserted-by":"crossref","unstructured":"Xu, J., Schwing, A.G., Urtasun, R.: Learning to segment under various forms of weak supervision. In: Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, pp. 3781\u20133790 (2015)","DOI":"10.1109\/CVPR.2015.7299002"},{"key":"25_CR12","doi-asserted-by":"crossref","unstructured":"Bearman, A., Russakovsky, O., Ferrari, V., Fei-Fei, L.: What\u2019s the point: semantic segmentation with point supervision. ArXiv e-prints (2015)","DOI":"10.1007\/978-3-319-46478-7_34"},{"key":"25_CR13","doi-asserted-by":"crossref","unstructured":"Papandreou, G., Chen, L.C., Murphy, K.P., Yuille, A.L.: Weakly- and semi-supervised learning of a deep convolutional network for semantic image segmentation. In: The IEEE International Conference on Computer Vision (ICCV), December 2015","DOI":"10.1109\/ICCV.2015.203"},{"key":"25_CR14","unstructured":"Pathak, D., Shelhamer, E., Long, J., Darrell, T.: Fully convolutional multi-class multiple instance learning. In: ICLR Workshop (2015)"},{"key":"25_CR15","doi-asserted-by":"crossref","unstructured":"Qi, X., Shi, J., Liu, S., Liao, R., Jia, J.: Semantic segmentation with object clique potential. In: Proceedings of the IEEE International Conference on Computer Vision, pp. 2587\u20132595 (2015)","DOI":"10.1109\/ICCV.2015.297"},{"key":"25_CR16","doi-asserted-by":"crossref","unstructured":"Pinheiro, P.O., Collobert, R.: From image-level to pixel-level labeling with convolutional networks. In: The IEEE Conference on Computer Vision and Pattern Recognition (CVPR), June 2015","DOI":"10.1109\/CVPR.2015.7298780"},{"key":"25_CR17","doi-asserted-by":"crossref","unstructured":"Pathak, D., Krahenbuhl, P., Darrell, T.: Constrained convolutional neural networks for weakly supervised segmentation. In: The IEEE International Conference on Computer Vision (ICCV), December 2015","DOI":"10.1109\/ICCV.2015.209"},{"key":"25_CR18","doi-asserted-by":"crossref","unstructured":"Dai, J., He, K., Sun, J.: Boxsup: exploiting bounding boxes to supervise convolutional networks for semantic segmentation. In: Proceedings of the IEEE International Conference on Computer Vision, pp. 1635\u20131643 (2015)","DOI":"10.1109\/ICCV.2015.191"},{"issue":"3","key":"25_CR19","doi-asserted-by":"publisher","first-page":"211","DOI":"10.1007\/s11263-015-0816-y","volume":"115","author":"O Russakovsky","year":"2015","unstructured":"Russakovsky, O., Deng, J., Su, H., Krause, J., Satheesh, S., Ma, S., Huang, Z., Karpathy, A., Khosla, A., Bernstein, M., Berg, A.C., Fei-Fei, L.: ImageNet large scale visual recognition challenge. Int. J. Comput. Vis. (IJCV) 115(3), 211\u2013252 (2015)","journal-title":"Int. J. Comput. Vis. (IJCV)"},{"key":"25_CR20","doi-asserted-by":"crossref","unstructured":"Huiskes, M.J., Thomee, B., Lew, M.S.: New trends and ideas in visual concept detection: the MIR flickr retrieval evaluation initiative. In: Proceedings of the 2010 ACM International Conference on Multimedia Information Retrieval, MIR 2010, pp. 527\u2013536. ACM, New York (2010)","DOI":"10.1145\/1743384.1743475"},{"key":"25_CR21","doi-asserted-by":"publisher","first-page":"234","DOI":"10.1016\/j.patcog.2016.01.015","volume":"59","author":"Y Wei","year":"2016","unstructured":"Wei, Y., Liang, X., Chen, Y., Jie, Z., Xiao, Y., Zhao, Y., Yan, S.: Learning to segment with image-level annotations. Pattern Recognit. 59, 234\u2013244 (2016)","journal-title":"Pattern Recognit."},{"issue":"11","key":"25_CR22","doi-asserted-by":"publisher","first-page":"2189","DOI":"10.1109\/TPAMI.2012.28","volume":"34","author":"B Alexe","year":"2012","unstructured":"Alexe, B., Deselaers, T., Ferrari, V.: Measuring the objectness of image windows. IEEE Trans. Pattern Anal. Mach. Intell. 34(11), 2189\u20132202 (2012)","journal-title":"IEEE Trans. Pattern Anal. Mach. Intell."},{"key":"25_CR23","doi-asserted-by":"crossref","unstructured":"Cheng, M.M., Zhang, Z., Lin, W.Y., Torr, P.: Bing: binarized normed gradients for objectness estimation at 300fps. In: The IEEE Conference on Computer Vision and Pattern Recognition (CVPR), June 2014","DOI":"10.1109\/CVPR.2014.414"},{"key":"25_CR24","doi-asserted-by":"crossref","unstructured":"Arbel\u00e1ez, P., Pont-Tuset, J., Barron, J., Marques, F., Malik, J.: Multiscale combinatorial grouping. In: Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, pp. 328\u2013335 (2014)","DOI":"10.1109\/CVPR.2014.49"},{"key":"25_CR25","doi-asserted-by":"crossref","unstructured":"Carreira, J., Sminchisescu, C.: Constrained parametric min-cuts for automatic object segmentation. In: 2010 IEEE Conference on Computer Vision and Pattern Recognition (CVPR), pp. 3241\u20133248. IEEE (2010)","DOI":"10.1109\/CVPR.2010.5540063"},{"key":"25_CR26","doi-asserted-by":"crossref","unstructured":"Oquab, M., Bottou, L., Laptev, I., Sivic, J.: Is object localization for free?-Weakly-supervised learning with convolutional neural networks. In: Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, pp. 685\u2013694 (2015)","DOI":"10.1109\/CVPR.2015.7298668"},{"key":"25_CR27","unstructured":"Zhou, B., Khosla, A., Lapedriza, A., Oliva, A., Torralba, A.: Object detectors emerge in deep scene CNNs. arXiv preprint \n                      arXiv:1412.6856\n                      \n                     (2014)"},{"key":"25_CR28","unstructured":"Simonyan, K., Zisserman, A.: Very deep convolutional networks for large-scale image recognition. CoRR abs\/1409.1556 (2014)"},{"key":"25_CR29","doi-asserted-by":"crossref","unstructured":"Ghodrati, A., Diba, A., Pedersoli, M., Tuytelaars, T., Van Gool, L.: Deepproposal: Hunting objects by cascading deep convolutional layers. In: Proceedings of the IEEE International Conference on Computer Vision, pp. 2578\u20132586 (2015)","DOI":"10.1109\/ICCV.2015.296"},{"key":"25_CR30","doi-asserted-by":"crossref","unstructured":"Kuo, W., Hariharan, B., Malik, J.: Deepbox: Learning objectness with convolutional networks. In: Proceedings of the IEEE International Conference on Computer Vision, pp. 2479\u20132487 (2015)","DOI":"10.1109\/ICCV.2015.285"},{"key":"25_CR31","doi-asserted-by":"crossref","unstructured":"Zou, W., Komodakis, N.: Harf: hierarchy-associated rich features for salient object detection. In: The IEEE International Conference on Computer Vision (ICCV), December 2015","DOI":"10.1109\/ICCV.2015.54"},{"issue":"1","key":"25_CR32","doi-asserted-by":"publisher","first-page":"98","DOI":"10.1007\/s11263-014-0733-5","volume":"111","author":"M Everingham","year":"2015","unstructured":"Everingham, M., Eslami, S.M.A., Van Gool, L., Williams, C.K.I., Winn, J., Zisserman, A.: The pascal visual object classes challenge: a retrospective. Int. J. Comput. Vis. 111(1), 98\u2013136 (2015)","journal-title":"Int. J. Comput. Vis."},{"key":"25_CR33","doi-asserted-by":"crossref","unstructured":"Vezhnevets, A., Ferrari, V., Buhmann, J.M.: Weakly supervised structured output learning for semantic segmentation. In: 2012 IEEE Conference on Computer Vision and Pattern Recognition (CVPR), pp. 845\u2013852. IEEE (2012)","DOI":"10.1109\/CVPR.2012.6247757"},{"key":"25_CR34","unstructured":"Wei, Y., Liang, X., Chen, Y., Shen, X., Cheng, M.M., Zhao, Y., Yan, S.: STC: a simple to complex framework for weakly-supervised semantic segmentation. arXiv preprint \n                      arXiv:1509.03150\n                      \n                     (2015)"},{"key":"25_CR35","doi-asserted-by":"crossref","unstructured":"Bertasius, G., Shi, J., Torresani, L.: Deepedge: a multi-scale bifurcated deep network for top-down contour detection. CoRR abs\/1412.1123 (2014)","DOI":"10.1109\/CVPR.2015.7299067"},{"key":"25_CR36","unstructured":"Koltun, V.: Efficient inference in fully connected CRFs with Gaussian edge potentials. In: Advances in Neural Information Processing Systems (2011)"},{"key":"25_CR37","series-title":"Lecture Notes in Computer Science","doi-asserted-by":"publisher","first-page":"1","DOI":"10.1007\/978-3-642-33715-4_1","volume-title":"Computer Vision \u2013 ECCV 2012","author":"D Batra","year":"2012","unstructured":"Batra, D., Yadollahpour, P., Guzman-Rivera, A., Shakhnarovich, G.: Diverse M-best solutions in Markov random fields. In: Fitzgibbon, A., Lazebnik, S., Perona, P., Sato, Y., Schmid, C. (eds.) ECCV 2012, Part V. LNCS, vol. 7576, pp. 1\u201316. Springer, Heidelberg (2012)"},{"key":"25_CR38","doi-asserted-by":"crossref","unstructured":"Hariharan, B., Arbel\u00e1ez, P., Bourdev, L., Maji, S., Malik, J.: Semantic contours from inverse detectors. In: 2011 IEEE International Conference on Computer Vision (ICCV), pp. 991\u2013998. IEEE (2011)","DOI":"10.1109\/ICCV.2011.6126343"},{"key":"25_CR39","doi-asserted-by":"crossref","unstructured":"Jia, Y., Shelhamer, E., Donahue, J., Karayev, S., Long, J., Girshick, R., Guadarrama, S., Darrell, T.: Caffe: convolutional architecture for fast feature embedding. In: Proceedings of the ACM International Conference on Multimedia, pp. 675\u2013678. ACM (2014)","DOI":"10.1145\/2647868.2654889"}],"container-title":["Lecture Notes in Computer Science","Computer Vision \u2013 ECCV 2016"],"original-title":[],"language":"en","link":[{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-319-46484-8_25","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2020,10,10]],"date-time":"2020-10-10T00:55:31Z","timestamp":1602291331000},"score":1,"resource":{"primary":{"URL":"http:\/\/link.springer.com\/10.1007\/978-3-319-46484-8_25"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2016]]},"ISBN":["9783319464831","9783319464848"],"references-count":39,"URL":"https:\/\/doi.org\/10.1007\/978-3-319-46484-8_25","relation":{},"ISSN":["0302-9743","1611-3349"],"issn-type":[{"value":"0302-9743","type":"print"},{"value":"1611-3349","type":"electronic"}],"subject":[],"published":{"date-parts":[[2016]]},"assertion":[{"value":"17 September 2016","order":1,"name":"first_online","label":"First Online","group":{"name":"ChapterHistory","label":"Chapter History"}},{"value":"ECCV","order":1,"name":"conference_acronym","label":"Conference Acronym","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"European Conference on Computer Vision","order":2,"name":"conference_name","label":"Conference Name","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Amsterdam","order":3,"name":"conference_city","label":"Conference City","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"The Netherlands","order":4,"name":"conference_country","label":"Conference Country","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"2016","order":5,"name":"conference_year","label":"Conference Year","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"8 October 2016","order":7,"name":"conference_start_date","label":"Conference Start Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"16 October 2016","order":8,"name":"conference_end_date","label":"Conference End Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"14","order":9,"name":"conference_number","label":"Conference Number","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"eccv2016","order":10,"name":"conference_id","label":"Conference ID","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"http:\/\/www.eccv2016.org\/","order":11,"name":"conference_url","label":"Conference URL","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"This content has been made available to all.","name":"free","label":"Free to read"}]}}