{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,6,27]],"date-time":"2026-06-27T15:33:48Z","timestamp":1782574428655,"version":"3.54.5"},"publisher-location":"Cham","reference-count":50,"publisher":"Springer International Publishing","isbn-type":[{"value":"9783319464657","type":"print"},{"value":"9783319464664","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\/978-3-319-46466-4_49","type":"book-chapter","created":{"date-parts":[[2016,9,16]],"date-time":"2016-09-16T09:31:58Z","timestamp":1474018318000},"page":"816-832","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":165,"title":["Large-Scale Training of Shadow Detectors with Noisily-Annotated Shadow Examples"],"prefix":"10.1007","author":[{"given":"Tom\u00e1s F. Yago","family":"Vicente","sequence":"first","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Le","family":"Hou","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Chen-Ping","family":"Yu","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Minh","family":"Hoai","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Dimitris","family":"Samaras","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"297","published-online":{"date-parts":[[2016,9,17]]},"reference":[{"key":"49_CR1","unstructured":"Bastien, F., Lamblin, P., Pascanu, R., Bergstra, J., Goodfellow, I.J., Bergeron, A., Bouchard, N., Bengio, Y.: Theano: new features and speed improvements. In: NIPS Workshop (2012)"},{"key":"49_CR2","doi-asserted-by":"crossref","unstructured":"Bergstra, J., Breuleux, O., Bastien, F., Lamblin, P., Pascanu, R., Desjardins, G., Turian, J., Warde-Farley, D., Bengio, Y.: Theano: a CPU and GPU math expression compiler. In: SciPy (2010)","DOI":"10.25080\/Majora-92bf1922-003"},{"key":"49_CR3","unstructured":"Biggio, B., Nelson, B., Laskov, P.: Support vector machines under adversarial label noise. In: ACML (2011)"},{"key":"49_CR4","doi-asserted-by":"publisher","first-page":"679","DOI":"10.1109\/TPAMI.1986.4767851","volume":"6","author":"J Canny","year":"1986","unstructured":"Canny, J.: A computational approach to edge detection. IEEE Trans. Pattern Anal. Mach. Intell. 6, 679\u2013698 (1986)","journal-title":"IEEE Trans. Pattern Anal. Mach. Intell."},{"key":"49_CR5","doi-asserted-by":"crossref","unstructured":"Ciresan, D., Meier, U., Schmidhuber, J.: Multi-column deep neural networks for image classification. In: CVPR (2012)","DOI":"10.1109\/CVPR.2012.6248110"},{"key":"49_CR6","unstructured":"Crammer, K., Lee, D.D.: Learning via Gaussian herding. In: NIPS (2010)"},{"key":"49_CR7","doi-asserted-by":"crossref","unstructured":"Ecins, A., Fermller, C., Aloimonos, Y.: Shadow-free segmentation in still images using local density measure (2014)","DOI":"10.1109\/ICCPHOT.2014.6831803"},{"issue":"1","key":"49_CR8","doi-asserted-by":"publisher","first-page":"59","DOI":"10.1109\/TPAMI.2006.18","volume":"28","author":"G Finlayson","year":"2006","unstructured":"Finlayson, G., Hordley, S., Lu, C., Drew, M.: On the removal of shadows from images. IEEE Trans. Pattern Anal. Mach. Intell. 28(1), 59\u201368 (2006)","journal-title":"IEEE Trans. Pattern Anal. Mach. Intell."},{"issue":"1","key":"49_CR9","doi-asserted-by":"publisher","first-page":"35","DOI":"10.1007\/s11263-009-0243-z","volume":"85","author":"G Finlayson","year":"2009","unstructured":"Finlayson, G., Drew, M., Lu, C.: Entropy minimization for shadow removal. Int. J. Comput. Vis. 85(1), 35\u201357 (2009)","journal-title":"Int. J. Comput. Vis."},{"issue":"5","key":"49_CR10","doi-asserted-by":"publisher","first-page":"845","DOI":"10.1109\/TNNLS.2013.2292894","volume":"25","author":"B Frenay","year":"2014","unstructured":"Frenay, B., Verleysen, M.: Classification in the presence of label noise: a survey. IEEE Trans. Neural Netw. Learn. Syst. 25(5), 845\u2013869 (2014)","journal-title":"IEEE Trans. Neural Netw. Learn. Syst."},{"key":"49_CR11","doi-asserted-by":"crossref","unstructured":"Gulshan, V., Rother, C., Criminisi, A., Blake, A., Zisserman, A.: Geodesic star convexity for interactive image segmentation (2010)","DOI":"10.1109\/CVPR.2010.5540073"},{"key":"49_CR12","doi-asserted-by":"crossref","unstructured":"Guo, R., Dai, Q., Hoiem, D.: Single-image shadow detection and removal using paired regions (2011)","DOI":"10.1109\/CVPR.2011.5995725"},{"key":"49_CR13","doi-asserted-by":"crossref","unstructured":"Guo, R., Dai, Q., Hoiem, D.: Paired regions for shadow detection and removal (2012)","DOI":"10.1109\/TPAMI.2012.214"},{"key":"49_CR14","doi-asserted-by":"crossref","unstructured":"Hameed Khan, S., Bennamoun, M., Sohel, F., Togneri, R.: Automatic feature learning for robust shadow detection (2014)","DOI":"10.1109\/CVPR.2014.249"},{"key":"49_CR15","doi-asserted-by":"crossref","unstructured":"Hoai, M.: Regularized max pooling for image categorization (2014)","DOI":"10.5244\/C.28.32"},{"key":"49_CR16","doi-asserted-by":"crossref","unstructured":"Hoai, M., Zisserman, A.: Improving human action recognition using score distribution and ranking (2014)","DOI":"10.1007\/978-3-319-16814-2_1"},{"key":"49_CR17","unstructured":"Huang, X., Hua, G., Tumblin, J., Williams, L.: What characterizes a shadow boundary under the sun and sky? (2011)"},{"issue":"1","key":"49_CR18","doi-asserted-by":"publisher","first-page":"221","DOI":"10.1109\/TPAMI.2012.59","volume":"35","author":"S Ji","year":"2013","unstructured":"Ji, S., Xu, W., Yang, M., Yu, K.: 3D convolutional neural networks for human action recognition. PAMI 35(1), 221\u2013231 (2013)","journal-title":"PAMI"},{"key":"49_CR19","series-title":"Lecture Notes in Computer Science","doi-asserted-by":"publisher","first-page":"318","DOI":"10.1007\/978-3-540-88682-2_25","volume-title":"Computer Vision \u2013 ECCV 2008","author":"IN Junejo","year":"2008","unstructured":"Junejo, I.N., Foroosh, H.: Estimating geo-temporal location of stationary cameras using shadow trajectories. In: Forsyth, D., Torr, P., Zisserman, A. (eds.) ECCV 2008. LNCS, vol. 5302, pp. 318\u2013331. Springer, Heidelberg (2008)"},{"key":"49_CR20","doi-asserted-by":"crossref","unstructured":"Karpathy, A., Toderici, G., Shetty, S., Leung, T., Sukthankar, R., Fei-Fei, L.: Large-scale video classification with convolutional neural networks. In: CVPR (2014)","DOI":"10.1109\/CVPR.2014.223"},{"issue":"6","key":"49_CR21","doi-asserted-by":"publisher","first-page":"157","DOI":"10.1145\/2070781.2024191","volume":"30","author":"K Karsch","year":"2011","unstructured":"Karsch, K., Hedau, V., Forsyth, D., Hoiem, D.: Rendering synthetic objects into legacy photographs. ACM Trans. Graph. 30(6), 157 (2011)","journal-title":"ACM Trans. Graph."},{"key":"49_CR22","first-page":"227","volume":"8","author":"R Khardon","year":"2007","unstructured":"Khardon, R., Wachman, G.: Noise tolerant variants of the perceptron algorithm. J. Mach. Learn. Res. 8, 227\u2013248 (2007)","journal-title":"J. Mach. Learn. Res."},{"key":"49_CR23","doi-asserted-by":"crossref","unstructured":"Lalonde, J.F., Efros, A., Narasimhan, S.: Estimating natural illumination from a single outdoor image (2009)","DOI":"10.1109\/ICCV.2009.5459163"},{"key":"49_CR24","series-title":"Lecture Notes in Computer Science","doi-asserted-by":"publisher","first-page":"322","DOI":"10.1007\/978-3-642-15552-9_24","volume-title":"Computer Vision \u2013 ECCV 2010","author":"J-F Lalonde","year":"2010","unstructured":"Lalonde, J.-F., Efros, A.A., Narasimhan, S.G.: Detecting ground shadows in outdoor consumer photographs. In: Daniilidis, K., Maragos, P., Paragios, N. (eds.) ECCV 2010. LNCS, vol. 6312, pp. 322\u2013335. Springer, Heidelberg (2010)"},{"key":"49_CR25","series-title":"Lecture Notes in Computer Science","doi-asserted-by":"crossref","first-page":"740","DOI":"10.1007\/978-3-319-10602-1_48","volume-title":"Computer Vision \u2013 ECCV 2014","author":"T-Y Lin","year":"2014","unstructured":"Lin, T.-Y., et al.: Microsoft COCO: common objects in context. In: Fleet, D., Pajdla, T., Schiele, B., Tuytelaars, T. (eds.) ECCV 2014. LNCS, vol. 8693, pp. 740\u2013755. Springer, Heidelberg (2014)"},{"key":"49_CR26","doi-asserted-by":"crossref","unstructured":"Long, J., Shelhamer, E., Darrell, T.: Fully convolutional networks for semantic segmentation. In: CVPR (2015)","DOI":"10.1109\/CVPR.2015.7298965"},{"key":"49_CR27","unstructured":"Natarajan, N., Dhillon, I.S., Ravikumar, P.K., Tewari, A.: Learning with noisy labels. In: NIPS (2013)"},{"key":"49_CR28","doi-asserted-by":"crossref","unstructured":"Okabe, T., S.I., Sato, Y.: Attached shadow coding: estimating surface normals from shadows under unknown reflectance and lighting conditions (2009)","DOI":"10.1109\/ICCV.2009.5459381"},{"issue":"3","key":"49_CR29","doi-asserted-by":"publisher","first-page":"145","DOI":"10.1023\/A:1011139631724","volume":"42","author":"A Oliva","year":"2001","unstructured":"Oliva, A., Torralba, A.: Modeling the shape of the scene: a holistic representation fo the spatial envelope. Int. J. Comput. Vis. 42(3), 145\u2013175 (2001)","journal-title":"Int. J. Comput. Vis."},{"key":"49_CR30","doi-asserted-by":"crossref","unstructured":"Panagopoulos, A., Samaras, D., Paragios, N.: Robust shadow and illumination estimation using a mixture model (2009)","DOI":"10.1109\/CVPR.2009.5206665"},{"issue":"2","key":"49_CR31","doi-asserted-by":"publisher","first-page":"437","DOI":"10.1109\/TPAMI.2012.110","volume":"35","author":"A Panagopoulos","year":"2013","unstructured":"Panagopoulos, A., Wang, C., Samaras, D., Paragios, N.: Simultaneous cast shadows, illumination and geometry inference using hypergraphs. IEEE Trans. Pattern Anal. Mach. Intell. 35(2), 437\u2013449 (2013)","journal-title":"IEEE Trans. Pattern Anal. Mach. Intell."},{"key":"49_CR32","doi-asserted-by":"crossref","unstructured":"Park, E., Han, X., Berg, T.L., Berg, A.C.: Combining multiple sources of knowledge in deep cnns for action recognition. In: WACV (2016)","DOI":"10.1109\/WACV.2016.7477589"},{"key":"49_CR33","unstructured":"Saunders, C., Gammerman, A., Vovk, V.: Ridge regression learning algorithm in dual variables (1998)"},{"key":"49_CR34","unstructured":"Sharkey, A.J.: Combining Artificial Neural Nets: Ensemble and Modular Multi-net Systems. Springer Science & Business Media (2012)"},{"key":"49_CR35","unstructured":"Shen, L., Chua, T.W., Leman, K.: Shadow optimization from structured deep edge detection (2015)"},{"key":"49_CR36","unstructured":"Simonyan, K., Zisserman, A.: Very deep convolutional networks for large-scale image recognition. CoRR (2014)"},{"key":"49_CR37","unstructured":"Simonyan, K., Zisserman, A.: Two-stream convolutional networks for action recognition in videos (2014)"},{"key":"49_CR38","series-title":"Lecture Notes in Computer Science","doi-asserted-by":"publisher","first-page":"884","DOI":"10.1007\/978-3-642-04274-4_91","volume-title":"Artificial Neural Networks \u2013 ICANN 2009","author":"G Stempfel","year":"2009","unstructured":"Stempfel, G., Ralaivola, L.: Learning SVMs from sloppily labeled data. In: Alippi, C., Polycarpou, M., Panayiotou, C., Ellinas, G. (eds.) ICANN 2009. LNCS, vol. 5768, pp. 884\u2013893. Springer, Heidelberg (2009). doi: 10.1007\/978-3-642-04274-4_91"},{"key":"49_CR39","series-title":"Lecture Notes in Computer Science","doi-asserted-by":"publisher","first-page":"328","DOI":"10.1007\/978-3-540-75225-7_27","volume-title":"Algorithmic Learning Theory","author":"G Stempfel","year":"2007","unstructured":"Stempfel, G., Ralaivola, L.: Learning kernel perceptrons on noisy data using random projections. In: Hutter, M., Servedio, R.A., Takimoto, E. (eds.) ALT 2007. LNCS, vol. 4754, pp. 328\u2013342. Springer, Heidelberg (2007)"},{"key":"49_CR40","doi-asserted-by":"publisher","DOI":"10.1142\/5089","volume-title":"Least Squares Support Vector Machines","author":"JAK Suykens","year":"2002","unstructured":"Suykens, J.A.K., Gestel, T.V., Brabanter, J.D., Moor, B.D., Vandewalle, J.: Least Squares Support Vector Machines. World Scientific, Singapore (2002)"},{"issue":"3","key":"49_CR41","doi-asserted-by":"publisher","first-page":"293","DOI":"10.1023\/A:1018628609742","volume":"9","author":"JAK Suykens","year":"1999","unstructured":"Suykens, J.A.K., Vandewalle, J.: Least squares support vector machine classifiers. Neural Process. Lett. 9(3), 293\u2013300 (1999)","journal-title":"Neural Process. Lett."},{"key":"49_CR42","series-title":"Lecture Notes in Computer Science","doi-asserted-by":"publisher","first-page":"255","DOI":"10.1007\/3-540-47977-5_17","volume-title":"Computer Vision \u2014 ECCV 2002","author":"M Varma","year":"2002","unstructured":"Varma, M., Zisserman, A.: Classifying images of materials: achieving viewpoint and illumination independence. In: Heyden, A., Sparr, G., Nielsen, M., Johansen, P. (eds.) ECCV 2002. LNCS, vol. 2352, pp. 255\u2013271. Springer, Heidelberg (2002)"},{"key":"49_CR43","doi-asserted-by":"crossref","unstructured":"Yago Vicente, T.F., Hoai, M., Samaras, D.: Leave-one-out kernel optimization for shadow detection (2015)","DOI":"10.1109\/ICCV.2015.387"},{"key":"49_CR44","doi-asserted-by":"crossref","unstructured":"Yago Vicente, T.F., Hoai, M., Samaras, D.: Noisy label recovery for shadow detection in unfamiliar domains (2016)","DOI":"10.1109\/CVPR.2016.411"},{"key":"49_CR45","doi-asserted-by":"crossref","unstructured":"Yago Vicente, T.F., Yu, C.P., Samaras, D.: Single image shadow detection using multiple cues in a supermodular MRF (2013)","DOI":"10.5244\/C.27.126"},{"key":"49_CR46","doi-asserted-by":"crossref","unstructured":"Yu, C.P., Hua, W.Y., Samaras, D., Zelinsky, G.: Modeling clutter perception using parametric proto-object partitioning. In: NIPS (2013)","DOI":"10.1167\/14.10.365"},{"key":"49_CR47","doi-asserted-by":"crossref","unstructured":"Yu, C.P., Le, H., Zelinsky, G., Samaras, D.: Efficient video segmentation using parametric graph partitioning. In: ICCV (2015)","DOI":"10.1109\/ICCV.2015.361"},{"key":"49_CR48","doi-asserted-by":"crossref","unstructured":"Zhengqin, L., Jiansheng, C.: Superpixel segmentation using linear spectral clustering (2015)","DOI":"10.1109\/CVPR.2015.7298741"},{"key":"49_CR49","doi-asserted-by":"crossref","unstructured":"Zhu, J., Samuel, K., Masood, S., Tappen, M.: Learning to recognize shadows in monochromatic natural images (2010)","DOI":"10.1109\/CVPR.2010.5540209"},{"issue":"3","key":"49_CR50","doi-asserted-by":"publisher","first-page":"177","DOI":"10.1007\/s10462-004-0751-8","volume":"22","author":"X Zhu","year":"2004","unstructured":"Zhu, X., Wu, X.: Class noise vs. attribute noise: a quantitative study. Artif. Intell. Rev. 22(3), 177\u2013210 (2004)","journal-title":"Artif. Intell. Rev."}],"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\/978-3-319-46466-4_49","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,6,10]],"date-time":"2025-06-10T19:16:04Z","timestamp":1749582964000},"score":1,"resource":{"primary":{"URL":"http:\/\/link.springer.com\/10.1007\/978-3-319-46466-4_49"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2016]]},"ISBN":["9783319464657","9783319464664"],"references-count":50,"URL":"https:\/\/doi.org\/10.1007\/978-3-319-46466-4_49","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"}]}}