{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,3,27]],"date-time":"2025-03-27T02:01:16Z","timestamp":1743040876406,"version":"3.40.3"},"publisher-location":"Cham","reference-count":26,"publisher":"Springer International Publishing","isbn-type":[{"type":"print","value":"9783319667089"},{"type":"electronic","value":"9783319667096"}],"license":[{"start":{"date-parts":[[2017,1,1]],"date-time":"2017-01-01T00:00:00Z","timestamp":1483228800000},"content-version":"unspecified","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":[[2017]]},"DOI":"10.1007\/978-3-319-66709-6_13","type":"book-chapter","created":{"date-parts":[[2017,8,14]],"date-time":"2017-08-14T00:13:01Z","timestamp":1502669581000},"page":"153-164","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":1,"title":["Object Boundary Detection and Classification with Image-Level Labels"],"prefix":"10.1007","author":[{"given":"Jing Yu","family":"Koh","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Wojciech","family":"Samek","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Klaus-Robert","family":"M\u00fcller","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Alexander","family":"Binder","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","published-online":{"date-parts":[[2017,8,15]]},"reference":[{"key":"13_CR1","doi-asserted-by":"crossref","unstructured":"Arras, L., Horn, F., Montavon, G., M\u00fcller, K.R., Samek, W.: Explaining predictions of non-linear classifiers in NLP. In: Proceedings of the 1st Workshop on Representation Learning for NLP, pp. 1\u20137. Association for Computational Linguistics (2016)","DOI":"10.18653\/v1\/W16-1601"},{"issue":"7","key":"13_CR2","doi-asserted-by":"crossref","first-page":"e0130140","DOI":"10.1371\/journal.pone.0130140","volume":"10","author":"S Bach","year":"2015","unstructured":"Bach, S., Binder, A., Montavon, G., Klauschen, F., M\u00fcller, K.R., Samek, W.: On pixel-wise explanations for non-linear classifier decisions by layer-wise relevance propagation. PloS one 10(7), e0130140 (2015)","journal-title":"PloS one"},{"key":"13_CR3","doi-asserted-by":"crossref","unstructured":"Bertasius, G., Shi, J., Torresani, L.: High-for-low and low-for-high: efficient boundary detection from deep object features and its applications to high-level vision. In: IEEE ICCV, pp. 504\u2013512 (2015)","DOI":"10.1109\/ICCV.2015.65"},{"issue":"2","key":"13_CR4","doi-asserted-by":"crossref","first-page":"303","DOI":"10.1007\/s11263-009-0275-4","volume":"88","author":"M Everingham","year":"2010","unstructured":"Everingham, M., Van Gool, L., Williams, C., Winn, J., Zisserman, A.: The pascal visual object classes (voc) challenge. IJCV 88(2), 303\u2013338 (2010)","journal-title":"IJCV"},{"key":"13_CR5","doi-asserted-by":"crossref","unstructured":"Hariharan, B., Arbel\u00e1ez, P., Bourdev, L.D., Maji, S., Malik, J.: Semantic contours from inverse detectors. In: IEEE ICCV, pp. 991\u2013998 (2011)","DOI":"10.1109\/ICCV.2011.6126343"},{"key":"13_CR6","doi-asserted-by":"crossref","unstructured":"Hariharan, B., Arbel\u00e1ez, P., Girshick, R.B., Malik, J.: Hypercolumns for object segmentation and fine-grained localization. In: IEEE CVPR, pp. 447\u2013456 (2015)","DOI":"10.1109\/CVPR.2015.7298642"},{"key":"13_CR7","doi-asserted-by":"crossref","unstructured":"Jia, Y., Shelhamer, E., Donahue, J., Karayev, S., Long, J., Girshick, R.B., Guadarrama, S., Darrell, T.: Caffe: convolutional architecture for fast feature embedding. In: Proceedings of the ACM International Conference on Multimedia, pp. 675\u2013678 (2014)","DOI":"10.1145\/2647868.2654889"},{"key":"13_CR8","doi-asserted-by":"crossref","unstructured":"Karpathy, A., Toderici, G., Shetty, S., Leung, T., Sukthankar, R., Li, F.: Large-scale video classification with convolutional neural networks. In: IEEE CVPR, pp. 1725\u20131732 (2014)","DOI":"10.1109\/CVPR.2014.223"},{"key":"13_CR9","doi-asserted-by":"crossref","unstructured":"Khoreva, A., Benenson, R., Omran, M., Hein, M., Schiele, B.: Weakly supervised object boundaries. In: The IEEE Conference on Computer Vision and Pattern Recognition (CVPR), June 2016","DOI":"10.1109\/CVPR.2016.27"},{"key":"13_CR10","doi-asserted-by":"crossref","unstructured":"Koutn\u00edk, J., Cuccu, G., Schmidhuber, J., Gomez, F.J.: Evolving large-scale neural networks for vision-based reinforcement learning. In: GECCO, pp. 1061\u20131068 (2013)","DOI":"10.1145\/2463372.2463509"},{"key":"13_CR11","doi-asserted-by":"crossref","unstructured":"Lapuschkin, S., Binder, A., Montavon, G., M\u00fcller, K.R., Samek, W.: Analyzing classifiers: fisher vectors and deep neural networks. In: IEEE CVPR, pp. 2912\u20132920 (2016)","DOI":"10.1109\/CVPR.2016.318"},{"issue":"114","key":"13_CR12","first-page":"1","volume":"17","author":"S Lapuschkin","year":"2016","unstructured":"Lapuschkin, S., Binder, A., Montavon, G., M\u00fcller, K.R., Samek, W.: The layer-wise relevance propagation toolbox for artificial neural networks. J. Mach. Learn. Res. 17(114), 1\u20135 (2016)","journal-title":"J. Mach. Learn. Res."},{"key":"13_CR13","doi-asserted-by":"crossref","unstructured":"Li, Y., Paluri, M., Rehg, J.M., Dollar, P.: Unsupervised learning of edges. In: The IEEE Conference on Computer Vision and Pattern Recognition (CVPR), June 2016","DOI":"10.1109\/CVPR.2016.179"},{"key":"13_CR14","doi-asserted-by":"crossref","unstructured":"Long, J., Shelhamer, E., Darrell, T.: Fully convolutional networks for semantic segmentation. In: IEEE CVPR, pp. 3431\u20133440 (2015)","DOI":"10.1109\/CVPR.2015.7298965"},{"key":"13_CR15","doi-asserted-by":"crossref","unstructured":"Malinowski, M., Rohrbach, M., Fritz, M.: Ask your neurons: a neural-based approach to answering questions about images. In: IEEE ICCV, pp. 1\u20139 (2015)","DOI":"10.1109\/ICCV.2015.9"},{"issue":"99","key":"13_CR16","doi-asserted-by":"crossref","first-page":"1","DOI":"10.1109\/TPAMI.2017.2700300","volume":"PP","author":"KK Maninis","year":"2017","unstructured":"Maninis, K.K., Pont-Tuset, J., Arbelaez, P., Gool, L.V.: Convolutional oriented boundaries: from image segmentation to high-level tasks. IEEE Trans. Pattern Anal. Mach. Intell. PP(99), 1\u20131 (2017)","journal-title":"IEEE Trans. Pattern Anal. Mach. Intell."},{"issue":"7540","key":"13_CR17","doi-asserted-by":"crossref","first-page":"529","DOI":"10.1038\/nature14236","volume":"518","author":"V Mnih","year":"2015","unstructured":"Mnih, V., Kavukcuoglu, K., Silver, D., Rusu, A.A., Veness, J., Bellemare, M.G., Graves, A., Riedmiller, M., Fidjeland, A.K., Ostrovski, G., Petersen, S., Beattie, C., Sadik, A., Antonoglou, I., King, H., Kumaran, D., Wierstra, D., Legg, S., Hassabis, D.: Human-level control through deep reinforcement learning. Nature 518(7540), 529\u2013533 (2015)","journal-title":"Nature"},{"key":"13_CR18","doi-asserted-by":"crossref","first-page":"211","DOI":"10.1016\/j.patcog.2016.11.008","volume":"65","author":"G Montavon","year":"2017","unstructured":"Montavon, G., Bach, S., Binder, A., Samek, W., M\u00fcller, K.R.: Explaining nonlinear classification decisions with deep taylor decomposition. Pattern Recognit. 65, 211\u2013222 (2017)","journal-title":"Pattern Recognit."},{"key":"13_CR19","doi-asserted-by":"crossref","unstructured":"Samek, W., Binder, A., Montavon, G., Lapuschkin, S., M\u00fcller, K.R.: Evaluating the visualization of what a deep neural network has learned. IEEE Trans. Neural Netw. Learn. Syst. (2016)","DOI":"10.1109\/TNNLS.2016.2599820"},{"key":"13_CR20","unstructured":"Simonyan, K., Vedaldi, A., Zisserman, A.: Deep inside convolutional networks: visualising image classification models and saliency maps. CoRR abs\/1312.6034 (2013)"},{"key":"13_CR21","unstructured":"Sutskever, I., Vinyals, O., Le, Q.V.: Sequence to sequence learning with neural networks. In: Advances in NIPS, pp. 3104\u20133112 (2014)"},{"key":"13_CR22","doi-asserted-by":"crossref","unstructured":"Szegedy, C., Liu, W., Jia, Y., Sermanet, P., Reed, S., Anguelov, D., Erhan, D., Vanhoucke, V., Rabinovich, A.: Going deeper with convolutions. CoRR abs\/1409.4842 (2014)","DOI":"10.1109\/CVPR.2015.7298594"},{"key":"13_CR23","doi-asserted-by":"crossref","unstructured":"Xie, S., Tu, Z.: Holistically-nested edge detection. Int. J. Comput. Vis. (2017). http:\/\/dx.doi.org\/10.1007\/s11263-017-1004-z","DOI":"10.1007\/s11263-017-1004-z"},{"key":"13_CR24","doi-asserted-by":"crossref","unstructured":"Yang, J., Price, B., Cohen, S., Lee, H., Yang, M.H.: Object contour detection with a fully convolutional encoder-decoder network. In: The IEEE Conference on Computer Vision and Pattern Recognition (CVPR), June 2016","DOI":"10.1109\/CVPR.2016.28"},{"key":"13_CR25","doi-asserted-by":"crossref","unstructured":"Yu, Z., Feng, C., Liu, M.Y., Ramalingam, S.: CASENet: Deep Category-Aware Semantic Edge Detection. ArXiv e-prints, May 2017","DOI":"10.1109\/CVPR.2017.191"},{"key":"13_CR26","series-title":"Lecture Notes in Computer Science","doi-asserted-by":"publisher","first-page":"818","DOI":"10.1007\/978-3-319-10590-1_53","volume-title":"Computer Vision \u2013 ECCV 2014","author":"MD Zeiler","year":"2014","unstructured":"Zeiler, M.D., Fergus, R.: Visualizing and understanding convolutional networks. In: Fleet, D., Pajdla, T., Schiele, B., Tuytelaars, T. (eds.) ECCV 2014. LNCS, vol. 8689, pp. 818\u2013833. Springer, Cham (2014). doi: 10.1007\/978-3-319-10590-1_53"}],"container-title":["Lecture Notes in Computer Science","Pattern Recognition"],"original-title":[],"link":[{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-319-66709-6_13","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2019,10,2]],"date-time":"2019-10-02T06:50:18Z","timestamp":1569999018000},"score":1,"resource":{"primary":{"URL":"http:\/\/link.springer.com\/10.1007\/978-3-319-66709-6_13"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2017]]},"ISBN":["9783319667089","9783319667096"],"references-count":26,"URL":"https:\/\/doi.org\/10.1007\/978-3-319-66709-6_13","relation":{},"ISSN":["0302-9743","1611-3349"],"issn-type":[{"type":"print","value":"0302-9743"},{"type":"electronic","value":"1611-3349"}],"subject":[],"published":{"date-parts":[[2017]]}}}