{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,10,27]],"date-time":"2025-10-27T10:50:59Z","timestamp":1761562259805,"version":"3.28.0"},"reference-count":28,"publisher":"IEEE","content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2017,5]]},"DOI":"10.1109\/ijcnn.2017.7966307","type":"proceedings-article","created":{"date-parts":[[2017,7,10]],"date-time":"2017-07-10T21:41:30Z","timestamp":1499722890000},"page":"3585-3592","source":"Crossref","is-referenced-by-count":2,"title":["A fast method for saliency detection by back-propagating a convolutional neural network and clamping its partial outputs"],"prefix":"10.1109","author":[{"given":"Hengyue","family":"Pan","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Hui","family":"Jiang","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"263","reference":[{"key":"ref10","first-page":"414","article-title":"Salient object detection: A benchmark","author":"borji","year":"2012","journal-title":"ECCV"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2012.89"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2011.5995344"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1109\/ICIP.2012.6466941"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1016\/j.image.2013.07.005"},{"key":"ref15","first-page":"2179","article-title":"Saliency, scale and information: Towards a unifying theory","author":"rahman","year":"2015","journal-title":"Advances in neural information processing systems"},{"key":"ref16","first-page":"545","article-title":"Graph-based visual saliency","author":"harel","year":"2006","journal-title":"Advances in Neural Information Processing Systems (NIPS)"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2015.7298731"},{"journal-title":"Deep Inside Convolutional Networks Visualising Image Classification Models and Saliency Maps","year":"2014","author":"simonyan","key":"ref18"},{"journal-title":"Deep learning for object saliency detection and image segmentation","year":"2015","author":"pan","key":"ref19"},{"key":"ref28","doi-asserted-by":"crossref","first-page":"309","DOI":"10.1145\/1015706.1015720","article-title":"Grabcut: Interactive foreground extraction using iterated graph cuts","volume":"23","author":"rother","year":"2004","journal-title":"ACM Transactions on Graphics (TOG)"},{"key":"ref4","article-title":"Very deep convolutional networks for large-scale image recognition","author":"simonyan","year":"2015","journal-title":"International Conference on Learning Representations (ICLR)"},{"key":"ref27","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2014.49"},{"journal-title":"Going Deeper with Convolutions","year":"2014","author":"szegedy","key":"ref3"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2014.81"},{"key":"ref5","article-title":"Overfeat: Integrated recognition, localization and detection using convolutional networks","author":"sermanet","year":"2014","journal-title":"International Conference on Learning Representations (ICLR)"},{"key":"ref8","doi-asserted-by":"crossref","first-page":"353","DOI":"10.1109\/TPAMI.2010.70","article-title":"Learning to detect a salient object","volume":"33","author":"liu","year":"2011","journal-title":"IEEE Transactions on Pattern Analysis and Machine Intelligence (PAMI)"},{"key":"ref7","first-page":"297","article-title":"Simultaneous detection and segmentation","author":"hariharan","year":"2014","journal-title":"ECCV"},{"key":"ref2","first-page":"1097","article-title":"Imagenet classification with deep convolutional neural networks","volume":"25","author":"krizhevsky","year":"2012","journal-title":"Advances in neural information processing systems"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2013.26"},{"key":"ref1","article-title":"Convolutional networks for images, speech, and time series","volume":"3361","author":"lecun","year":"1995","journal-title":"The Handbook of Brain Theory and Neural Networks"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2012.120"},{"journal-title":"Salient object detection A survey","year":"2014","author":"borji","key":"ref22"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1007\/s11263-009-0275-4"},{"journal-title":"Very Deep Convolutional Networks for Large-scale Image Recognition","year":"2014","author":"simonyan","key":"ref24"},{"key":"ref23","first-page":"1803","article-title":"How to explain individual classification decisions","volume":"11","author":"baehrens","year":"2010","journal-title":"Journal of Machine Learning Research"},{"key":"ref26","first-page":"155","article-title":"Saliency based on information maximization","author":"bruce","year":"2005","journal-title":"Advances in neural information processing systems"},{"key":"ref25","volume":"abs 1412 4564","author":"vedaldi","year":"2014","journal-title":"Matconvnet - convolutional neural networks for matlab"}],"event":{"name":"2017 International Joint Conference on Neural Networks (IJCNN)","start":{"date-parts":[[2017,5,14]]},"location":"Anchorage, AK, USA","end":{"date-parts":[[2017,5,19]]}},"container-title":["2017 International Joint Conference on Neural Networks (IJCNN)"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/7958416\/7965814\/07966307.pdf?arnumber=7966307","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2019,9,29]],"date-time":"2019-09-29T10:26:06Z","timestamp":1569752766000},"score":1,"resource":{"primary":{"URL":"http:\/\/ieeexplore.ieee.org\/document\/7966307\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2017,5]]},"references-count":28,"URL":"https:\/\/doi.org\/10.1109\/ijcnn.2017.7966307","relation":{},"subject":[],"published":{"date-parts":[[2017,5]]}}}