{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,10,27]],"date-time":"2025-10-27T20:44:48Z","timestamp":1761597888668,"version":"3.28.0"},"reference-count":30,"publisher":"IEEE","content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2017,11]]},"DOI":"10.1109\/dicta.2017.8227411","type":"proceedings-article","created":{"date-parts":[[2017,12,22]],"date-time":"2017-12-22T01:19:08Z","timestamp":1513905548000},"page":"1-6","source":"Crossref","is-referenced-by-count":12,"title":["Bilinear CNN Models for Food Recognition"],"prefix":"10.1109","author":[{"given":"Hesen","family":"Chen","sequence":"first","affiliation":[]},{"given":"Jingyu","family":"Wang","sequence":"additional","affiliation":[]},{"given":"Qi","family":"Qi","sequence":"additional","affiliation":[]},{"given":"Yujian","family":"Li","sequence":"additional","affiliation":[]},{"given":"Haifeng","family":"Sun","sequence":"additional","affiliation":[]}],"member":"263","reference":[{"key":"ref30","article-title":"Going deeper with convolutions","author":"christian","year":"2015","journal-title":"Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition"},{"key":"ref10","article-title":"Image recognition of 85 food categories by feature fusion","author":"hajime","year":"2010","journal-title":"Multimedia (ISM) 2010 IEEE International Symposium on"},{"key":"ref11","article-title":"A Benchmark Dataset to Study the Representation of Food Images","author":"giovanni","year":"2014","journal-title":"ECCV Workshops"},{"key":"ref12","article-title":"Real-time mobile food recognition system","author":"yoshiyuki","year":"2013","journal-title":"Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition Workshops"},{"key":"ref13","article-title":"Foodcam: Areal-time mobile food recognition system employing fisher vector","author":"yoshiyuki","year":"2014","journal-title":"International Conference on Multimedia Modeling"},{"key":"ref14","doi-asserted-by":"crossref","first-page":"147","DOI":"10.1016\/j.pmcj.2011.07.003","article-title":"DietCam: Automatic dietary assessment with mobile camera phones","volume":"8","author":"fanyu","year":"2012","journal-title":"Pervasive and Mobile Computing"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1109\/JSTSP.2010.2051471"},{"key":"ref16","article-title":"Food image recognition using deep convolutional network with pre-training and fine-tuning","author":"keiji","year":"2015","journal-title":"Multimedia & Expo Workshops (ICMEW) 2015 IEEE International Conference on"},{"key":"ref17","article-title":"Food image recognition using very deep convolutional networks","author":"hamid","year":"2016","journal-title":"Proceedings of the 2nd International Workshop on Multimedia Assisted Dietary Management"},{"journal-title":"Wide-Slice Residual Networks for Food Recognition","year":"2016","author":"niki","key":"ref18"},{"key":"ref19","article-title":"Separating style and content","author":"tenenbaum","year":"1997","journal-title":"Advances in neural information processing systems"},{"key":"ref28","article-title":"Food image recognition with deep convolutional features","author":"yoshiyuki","year":"2014","journal-title":"Proceedings of the 2014 ACM International Joint Conference on Pervasive and Ubiquitous Computing Adjunct Publication"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.1999.790410"},{"key":"ref27","article-title":"Deepfood: Deep learning-based food image recognition for computer-aided dietary assessment","author":"chang","year":"2016","journal-title":"International Conference on Smart Homes and Health Telematics"},{"key":"ref3","first-page":"143","article-title":"Improving the fisher kernel for large-scale image classification","author":"florent","year":"2010","journal-title":"Computer Vision-ECCV 2010"},{"journal-title":"Return of the devil in the details Delving deep into convolutional nets","year":"2014","author":"ken","key":"ref6"},{"key":"ref29","doi-asserted-by":"crossref","first-page":"67","DOI":"10.1016\/j.cviu.2016.01.012","article-title":"A supervised extreme learning committee for food recognition","volume":"148","author":"niki","year":"2016","journal-title":"Computer Vision and Image Understanding"},{"key":"ref5","article-title":"Bilinear cnn models for fine-grained visual recognition","author":"tsung-yu","year":"2015","journal-title":"Proceedings of the IEEE International Conference on Computer Vision"},{"key":"ref8","article-title":"PFID: Pittsburgh fast-food image dataset","author":"mei","year":"2009","journal-title":"Image Processing (ICIP) 2009 16th IEEE International Conference On"},{"journal-title":"Very Deep Convolutional Networks for Large-scale Image Recognition","year":"2014","author":"karen","key":"ref7"},{"journal-title":"Computer Vision and Pattern Recognition (CVPR) 2010 IEEE Conference on","article-title":"Aggregating local descriptors into a compact image representation","year":"2010","key":"ref2"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2010.5539907"},{"key":"ref1","article-title":"Imagenet classification with deep convolutional neural networks","author":"alex","year":"2012","journal-title":"Advances in neural information processing systems"},{"key":"ref20","article-title":"Bilinear classifiers for visual recognition","author":"hamed","year":"2009","journal-title":"Advances in neural information processing systems"},{"key":"ref22","article-title":"Inception-v4, Inception-ResNet and the Impact of Residual Connections on Learning","author":"christian","year":"2017","journal-title":"AAAI"},{"key":"ref21","article-title":"Rethinking the inception architecture for computer vision","author":"christian","year":"2016","journal-title":"Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition"},{"key":"ref24","article-title":"Food-101-mining discriminative components with random forests","author":"lukas","year":"2014","journal-title":"European Conference on Computer Vision"},{"key":"ref23","article-title":"Imagenet: A large-scale hierarchical image database","author":"jia","year":"2009","journal-title":"Computer Vision and Pattern Recognition 2009 CVPR 2009 IEEE Conference on"},{"key":"ref26","article-title":"Deep-based ingredient recognition for cooking recipe retrieval","author":"jingjing","year":"2016","journal-title":"Proceedings of the 2016 ACM on Multimedia Conference"},{"key":"ref25","article-title":"Recognition of multiple-food images by detecting candidate regions","author":"yuji","year":"2012","journal-title":"Multimedia and Expo (ICME) 2012 IEEE International Conference on"}],"event":{"name":"2017 International Conference on Digital Image Computing: Techniques and Applications (DICTA)","start":{"date-parts":[[2017,11,29]]},"location":"Sydney, NSW","end":{"date-parts":[[2017,12,1]]}},"container-title":["2017 International Conference on Digital Image Computing: Techniques and Applications (DICTA)"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/8226656\/8227375\/08227411.pdf?arnumber=8227411","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2022,1,26]],"date-time":"2022-01-26T03:41:37Z","timestamp":1643168497000},"score":1,"resource":{"primary":{"URL":"http:\/\/ieeexplore.ieee.org\/document\/8227411\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2017,11]]},"references-count":30,"URL":"https:\/\/doi.org\/10.1109\/dicta.2017.8227411","relation":{},"subject":[],"published":{"date-parts":[[2017,11]]}}}