乐胖代购免代理版

{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2024,9,6]],"date-time":"2024-09-06T11:31:39Z","timestamp":1725622299152},"publisher-location":"New York, NY, USA","reference-count":27,"publisher":"ACM","license":[{"start":{"date-parts":[[2018,10,29]],"date-time":"2018-10-29T00:00:00Z","timestamp":1540771200000},"content-version":"vor","delay-in-days":0,"URL":"http:\/\/www.acm.org\/publications\/policies\/copyright_policy#Background"}],"content-domain":{"domain":["dl.acm.org"],"crossmark-restriction":true},"short-container-title":[],"published-print":{"date-parts":[[2018,10,29]]},"DOI":"10.1145\/3291064.3291067","type":"proceedings-article","created":{"date-parts":[[2019,1,7]],"date-time":"2019-01-07T14:44:51Z","timestamp":1546872291000},"page":"7-11","update-policy":"http:\/\/dx.doi.org\/10.1145\/crossmark-policy","source":"Crossref","is-referenced-by-count":2,"title":["Multimodal Deep Learning in Semantic Image Segmentation"],"prefix":"10.1145","author":[{"given":"Vishal","family":"Raman","sequence":"first","affiliation":[{"name":"NIT Hamirpur, Hamirpur, Himachal Pradesh, India"}]},{"given":"Madhu","family":"Kumari","sequence":"additional","affiliation":[{"name":"NIT Hamirpur, Hamirpur, Himachal Pradesh, India"}]}],"member":"320","published-online":{"date-parts":[[2018,10,29]]},"reference":[{"doi-asserted-by":"publisher","key":"e_1_3_2_1_1_1","DOI":"10.1109\/TMM.2017.2774007"},{"key":"e_1_3_2_1_2_1","first-page":"167","volume-title":"Image segmentation approach in multimodal information retrieval. In 2013--10th International Computer Conference on Wavelet Active Media Technology and Information Processing (IC-CWAMTIP)","author":"Ahmed S. R.","year":"2013","unstructured":"S. R. Ahmed , J. P. Li , M. M. Hammad , and K. Asif . Image segmentation approach in multimodal information retrieval. In 2013--10th International Computer Conference on Wavelet Active Media Technology and Information Processing (IC-CWAMTIP) , pages 167 -- 170 , Dec 2013 . S. R. Ahmed, J. P. Li, M. M. Hammad, and K. Asif. Image segmentation approach in multimodal information retrieval. In 2013--10th International Computer Conference on Wavelet Active Media Technology and Information Processing (IC-CWAMTIP), pages 167--170, Dec 2013."},{"key":"e_1_3_2_1_3_1","volume-title":"Multimodal machine learning: A survey and taxonomy. CoRR, abs\/1705.09406","author":"Baltrusaitis T.","year":"2017","unstructured":"T. Baltrusaitis , C. Ahuja , and L. Morency . Multimodal machine learning: A survey and taxonomy. CoRR, abs\/1705.09406 , 2017 . T. Baltrusaitis, C. Ahuja, and L. Morency. Multimodal machine learning: A survey and taxonomy. CoRR, abs\/1705.09406, 2017."},{"key":"e_1_3_2_1_4_1","volume-title":"Unsupervised feature learning and deep learning: A review and new perspectives. CoRR, abs\/1206.5538","author":"Bengio Y.","year":"2012","unstructured":"Y. Bengio , A. C. Courville , and P. Vincent . Unsupervised feature learning and deep learning: A review and new perspectives. CoRR, abs\/1206.5538 , 2012 . Y. Bengio, A. C. Courville, and P. Vincent. Unsupervised feature learning and deep learning: A review and new perspectives. CoRR, abs\/1206.5538, 2012."},{"doi-asserted-by":"publisher","key":"e_1_3_2_1_5_1","DOI":"10.1109\/IVS.2017.7995701"},{"doi-asserted-by":"publisher","key":"e_1_3_2_1_6_1","DOI":"10.1109\/VCON.2010.22"},{"key":"e_1_3_2_1_7_1","volume-title":"Unsupervised domain adaptation by backpropagation. arXiv preprint arXiv:1409.7495","author":"Ganin Y.","year":"2014","unstructured":"Y. Ganin and V. Lempitsky . Unsupervised domain adaptation by backpropagation. arXiv preprint arXiv:1409.7495 , 2014 . Y. Ganin and V. Lempitsky. Unsupervised domain adaptation by backpropagation. arXiv preprint arXiv:1409.7495, 2014."},{"key":"e_1_3_2_1_8_1","first-page":"1332","volume-title":"Spatially Adaptive Random Forest. In 2013 IEEE International Symposium on Biomedical Imaging: From Nano to Macro","author":"Geremia E.","year":"2013","unstructured":"E. Geremia , B. H. Menze , and N. Ayache . Spatially Adaptive Random Forest. In 2013 IEEE International Symposium on Biomedical Imaging: From Nano to Macro , pages 1332 -- 1335 , San Francisco, CA, United States , 2013 . IEEE. E. Geremia, B. H. Menze, and N. Ayache. Spatially Adaptive Random Forest. In 2013 IEEE International Symposium on Biomedical Imaging: From Nano to Macro, pages 1332--35, San Francisco, CA, United States, 2013. IEEE."},{"key":"e_1_3_2_1_9_1","first-page":"2672","volume-title":"Advances in neural information processing systems","author":"Goodfellow I.","year":"2014","unstructured":"I. Goodfellow , J. Pouget-Abadie , M. Mirza , B. Xu , D. Warde-Farley , S. Ozair , A. Courville , and Y. Bengio . Generative ad-versarial nets . In Advances in neural information processing systems , pages 2672 -- 2680 , 2014 . I. Goodfellow, J. Pouget-Abadie, M. Mirza, B. Xu, D. Warde-Farley, S. Ozair, A. Courville, and Y. Bengio. Generative ad-versarial nets. In Advances in neural information processing systems, pages 2672--2680, 2014."},{"key":"e_1_3_2_1_10_1","series-title":"Proceedings of Machine Learning Research","first-page":"448","volume-title":"Proceedings of the 32nd In-ternational Conference on Machine Learning","author":"Ioffe S.","year":"2015","unstructured":"S. Ioffe and C. Szegedy . Batch normalization: Accelerating deep network training by reducing internal covariate shift . In F. Bach and D. Blei, editors, Proceedings of the 32nd In-ternational Conference on Machine Learning , volume 37 of Proceedings of Machine Learning Research , pages 448 -- 456 , Lille, France , 07--09 Jul 2015 . PMLR. S. Ioffe and C. Szegedy. Batch normalization: Accelerating deep network training by reducing internal covariate shift. In F. Bach and D. Blei, editors, Proceedings of the 32nd In-ternational Conference on Machine Learning, volume 37 of Proceedings of Machine Learning Research, pages 448--456, Lille, France, 07--09 Jul 2015. PMLR."},{"doi-asserted-by":"publisher","key":"e_1_3_2_1_11_1","DOI":"10.1145\/1126004.1126005"},{"key":"e_1_3_2_1_12_1","first-page":"1280","volume-title":"Recur-rent multimodal interaction for referring image segmentation","author":"Liu C.","year":"2017","unstructured":"C. Liu , Z. Lin , X. Shen , J. Yang , X. Lu , and A. Yuille . Recur-rent multimodal interaction for referring image segmentation . ICCV. IEEE Computer Society , pages 1280 -- 1289 , 2017 . C. Liu, Z. Lin, X. Shen, J. Yang, X. Lu, and A. Yuille. Recur-rent multimodal interaction for referring image segmentation. ICCV. IEEE Computer Society, pages 1280--1289, 2017."},{"doi-asserted-by":"publisher","key":"e_1_3_2_1_13_1","DOI":"10.1109\/TCYB.2018.2797905"},{"key":"e_1_3_2_1_14_1","first-page":"1143","volume-title":"Proceedings of the 24th International Conference on Neural Information Processing Systems, NIPS'11","author":"Ordonez V.","year":"2011","unstructured":"V. Ordonez , G. Kulkarni , and T. L. Berg . Im2text: Describing images using 1 million captioned photographs . In Proceedings of the 24th International Conference on Neural Information Processing Systems, NIPS'11 , pages 1143 -- 1151 , USA, 2011 . Curran Associates Inc. V. Ordonez, G. Kulkarni, and T. L. Berg. Im2text: Describing images using 1 million captioned photographs. In Proceedings of the 24th International Conference on Neural Information Processing Systems, NIPS'11, pages 1143--1151, USA, 2011. Curran Associates Inc."},{"doi-asserted-by":"publisher","key":"e_1_3_2_1_15_1","DOI":"10.1109\/ISBI.2018.8363546"},{"key":"e_1_3_2_1_16_1","volume-title":"Image-text multi-modal represen-tation learning by adversarial backpropagation. CoRR, abs\/1612.08354","author":"Park G.","year":"2016","unstructured":"G. Park and W. Im . Image-text multi-modal represen-tation learning by adversarial backpropagation. CoRR, abs\/1612.08354 , 2016 . G. Park and W. Im. Image-text multi-modal represen-tation learning by adversarial backpropagation. CoRR, abs\/1612.08354, 2016."},{"doi-asserted-by":"publisher","key":"e_1_3_2_1_17_1","DOI":"10.1109\/IJCNN.2013.6706748"},{"doi-asserted-by":"publisher","key":"e_1_3_2_1_18_1","DOI":"10.1109\/IJCNN.2013.6706748"},{"doi-asserted-by":"publisher","key":"e_1_3_2_1_19_1","DOI":"10.1109\/MSP.2017.2738401"},{"doi-asserted-by":"publisher","key":"e_1_3_2_1_20_1","DOI":"10.1109\/ISS1.2017.8389420"},{"doi-asserted-by":"publisher","key":"e_1_3_2_1_21_1","DOI":"10.1109\/ISM.2016.0067"},{"key":"e_1_3_2_1_22_1","volume-title":"Learning to extract semantic structure from documents using multimodal fully convolutional neural network. CoRR, abs\/1706.02337","author":"Yang X.","year":"2017","unstructured":"X. Yang , M. E. Y\u00fcmer , P. Asente , M. Kraley , D. Kifer , and C. L. Giles . Learning to extract semantic structure from documents using multimodal fully convolutional neural network. CoRR, abs\/1706.02337 , 2017 . X. Yang, M. E. Y\u00fcmer, P. Asente, M. Kraley, D. Kifer, and C. L. Giles. Learning to extract semantic structure from documents using multimodal fully convolutional neural network. CoRR, abs\/1706.02337, 2017."},{"doi-asserted-by":"publisher","key":"e_1_3_2_1_23_1","DOI":"10.1109\/CVPR.2016.324"},{"key":"e_1_3_2_1_24_1","volume-title":"Noise2noise: Learning image restoration without clean data. CoRR, abs\/1803.04189","author":"Lehtinen J.","year":"2018","unstructured":"J. Lehtinen , J. Munkberg , J. Hasselgren , S. Laine , T. Karras , D. Aittala , and T. Aila . Noise2noise: Learning image restoration without clean data. CoRR, abs\/1803.04189 , 2018 . J. Lehtinen, J. Munkberg, J. Hasselgren, S. Laine, T. Karras, D. Aittala, and T. Aila. Noise2noise: Learning image restoration without clean data. CoRR, abs\/1803.04189, 2018."},{"key":"e_1_3_2_1_25_1","volume-title":"Occlusion edge detection in RGB-D frames using deep convolutional networks. CoRR, abs\/1412.7007","author":"Sarkar S.","year":"2014","unstructured":"S. Sarkar , V. Venugopalan , K. Reddy , M. Giering , J. Ryde , and N. Jaitly . Occlusion edge detection in RGB-D frames using deep convolutional networks. CoRR, abs\/1412.7007 , 2014 . S. Sarkar, V. Venugopalan, K. Reddy, M. Giering, J. Ryde, and N. Jaitly. Occlusion edge detection in RGB-D frames using deep convolutional networks. CoRR, abs\/1412.7007, 2014."},{"key":"e_1_3_2_1_26_1","first-page":"1790","volume-title":"Advances in Neural Information Processing Systems 27","author":"Xu L.","year":"2014","unstructured":"L. Xu , J. S. Ren , C. Liu , and J. Jia . Deep convolutional neural network for image deconvolution. In Z. Ghahramani, M. Welling, C. Cortes, N. D. Lawrence, and K. Q. Weinberger, editors , Advances in Neural Information Processing Systems 27 , pages 1790 -- 1798 . Curran Associates, Inc. , 2014 . L. Xu, J. S. Ren, C. Liu, and J. Jia. Deep convolutional neural network for image deconvolution. In Z. Ghahramani, M. Welling, C. Cortes, N. D. Lawrence, and K. Q. Weinberger, editors, Advances in Neural Information Processing Systems 27, pages 1790--1798. Curran Associates, Inc., 2014."},{"key":"e_1_3_2_1_27_1","volume-title":"Image inpainting for irregular holes using partial convolutions. CoRR, abs\/1804.07723","author":"Liu G.","year":"2018","unstructured":"G. Liu , F. A. Reda , K. J. Shih , T. Wang , A. Tao , and B. Catanzaro . Image inpainting for irregular holes using partial convolutions. CoRR, abs\/1804.07723 , 2018 . G. Liu, F. A. Reda, K. J. Shih, T. Wang, A. Tao, and B. Catanzaro. Image inpainting for irregular holes using partial convolutions. CoRR, abs\/1804.07723, 2018."}],"event":{"acronym":"CCIOT 2018","name":"CCIOT 2018: The 2018 International Conference on Cloud Computing and Internet of Things","location":"Singapore Singapore"},"container-title":["Proceedings of the 2018 International Conference on Cloud Computing and Internet of Things"],"original-title":[],"link":[{"URL":"https:\/\/dl.acm.org\/doi\/pdf\/10.1145\/3291064.3291067","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2023,1,13]],"date-time":"2023-01-13T18:08:29Z","timestamp":1673633309000},"score":1,"resource":{"primary":{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3291064.3291067"}},"subtitle":["A Review"],"short-title":[],"issued":{"date-parts":[[2018,10,29]]},"references-count":27,"alternative-id":["10.1145\/3291064.3291067","10.1145\/3291064"],"URL":"https:\/\/doi.org\/10.1145\/3291064.3291067","relation":{},"subject":[],"published":{"date-parts":[[2018,10,29]]},"assertion":[{"value":"2018-10-29","order":2,"name":"published","label":"Published","group":{"name":"publication_history","label":"Publication History"}}]}}