Food Image Recognition Using Covariance of Convolutional Layer Feature Maps
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[1] Alexei A. Efros,et al. Unsupervised Discovery of Mid-Level Discriminative Patches , 2012, ECCV.
[2] Naila Murray,et al. Revisiting the Fisher vector for fine-grained classification , 2014, Pattern Recognit. Lett..
[3] Matthieu Cord,et al. Recipe recognition with large multimodal food dataset , 2015, 2015 IEEE International Conference on Multimedia & Expo Workshops (ICMEW).
[4] Chih-Jen Lin,et al. LIBLINEAR: A Library for Large Linear Classification , 2008, J. Mach. Learn. Res..
[5] Anton van den Hengel,et al. The treasure beneath convolutional layers: Cross-convolutional-layer pooling for image classification , 2014, 2015 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).
[6] Matthieu Guillaumin,et al. Food-101 - Mining Discriminative Components with Random Forests , 2014, ECCV.
[7] Trevor Darrell,et al. DeCAF: A Deep Convolutional Activation Feature for Generic Visual Recognition , 2013, ICML.
[8] Stefan Carlsson,et al. CNN Features Off-the-Shelf: An Astounding Baseline for Recognition , 2014, 2014 IEEE Conference on Computer Vision and Pattern Recognition Workshops.
[9] Thomas Mensink,et al. Image Classification with the Fisher Vector: Theory and Practice , 2013, International Journal of Computer Vision.
[10] Keiji Yanai,et al. Food image recognition with deep convolutional features , 2014, UbiComp Adjunct.
[11] Rita Cucchiara,et al. Covariance of Covariance Features for Image Classification , 2014, ICMR.
[12] Fatih Murat Porikli,et al. Region Covariance: A Fast Descriptor for Detection and Classification , 2006, ECCV.
[13] Kiyoharu Aizawa. [Invited Paper] Multimedia FoodLog: Diverse Applications from Self-Monitoring to Social Contributions , 2013 .
[14] Hervé Jégou,et al. Negative Evidences and Co-occurences in Image Retrieval: The Benefit of PCA and Whitening , 2012, ECCV.
[15] Vittorio Murino,et al. Characterizing Humans on Riemannian Manifolds , 2013, IEEE Transactions on Pattern Analysis and Machine Intelligence.
[16] Miao Sun,et al. Generic Object Detection with Dense Neural Patterns and Regionlets , 2014, BMVC.
[17] Cordelia Schmid,et al. Beyond Bags of Features: Spatial Pyramid Matching for Recognizing Natural Scene Categories , 2006, 2006 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR'06).
[18] Xavier Pennec,et al. A Riemannian Framework for Tensor Computing , 2005, International Journal of Computer Vision.
[19] Keiji Yanai,et al. FoodCam: A real-time food recognition system on a smartphone , 2015, Multimedia Tools and Applications.
[20] Li Fei-Fei,et al. ImageNet: A large-scale hierarchical image database , 2009, CVPR.
[21] Xiang Zhang,et al. OverFeat: Integrated Recognition, Localization and Detection using Convolutional Networks , 2013, ICLR.
[22] Rob Fergus,et al. Visualizing and Understanding Convolutional Networks , 2013, ECCV.
[23] Geoffrey E. Hinton,et al. ImageNet classification with deep convolutional neural networks , 2012, Commun. ACM.