Domain invariant hierarchical embedding for grocery products recognition
暂无分享,去创建一个
[1] James Philbin,et al. FaceNet: A unified embedding for face recognition and clustering , 2015, 2015 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).
[2] Yang Song,et al. Learning Fine-Grained Image Similarity with Deep Ranking , 2014, 2014 IEEE Conference on Computer Vision and Pattern Recognition.
[3] Sanja Fidler,et al. Lost Shopping! Monocular Localization in Large Indoor Spaces , 2015, 2015 IEEE International Conference on Computer Vision (ICCV).
[4] H. A. Ananya,et al. Deep Learning based Large Scale Visual Recommendation and Search for E-Commerce , 2017, ArXiv.
[5] Bharath Hariharan,et al. Low-Shot Visual Recognition by Shrinking and Hallucinating Features , 2016, 2017 IEEE International Conference on Computer Vision (ICCV).
[6] Soumith Chintala,et al. Unsupervised Representation Learning with Deep Convolutional Generative Adversarial Networks , 2015, ICLR.
[7] Alexei A. Efros,et al. Image-to-Image Translation with Conditional Adversarial Networks , 2016, 2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).
[8] Jian Sun,et al. Deep Residual Learning for Image Recognition , 2015, 2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).
[9] Oriol Vinyals,et al. Matching Networks for One Shot Learning , 2016, NIPS.
[10] Christian Floerkemeier,et al. Recognizing Products: A Per-exemplar Multi-label Image Classification Approach , 2014, ECCV.
[11] Yann LeCun,et al. Dimensionality Reduction by Learning an Invariant Mapping , 2006, 2006 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR'06).
[12] Andrew Zisserman,et al. Very Deep Convolutional Networks for Large-Scale Image Recognition , 2014, ICLR.
[13] Trevor Darrell,et al. Adapting Visual Category Models to New Domains , 2010, ECCV.
[14] Richard S. Zemel,et al. Prototypical Networks for Few-shot Learning , 2017, NIPS.
[15] Eero P. Simoncelli,et al. Image quality assessment: from error visibility to structural similarity , 2004, IEEE Transactions on Image Processing.
[16] Sergey Ioffe,et al. Inception-v4, Inception-ResNet and the Impact of Residual Connections on Learning , 2016, AAAI.
[17] Giovanni Maria Farinella,et al. Market basket analysis from egocentric videos , 2018, Pattern Recognit. Lett..
[18] Tao Mei,et al. Deep Semantic Hashing with Generative Adversarial Networks , 2017, SIGIR.
[19] Davide Maltoni,et al. Grocery product detection and recognition , 2017, Expert Syst. Appl..
[20] Svetlana Lazebnik,et al. Where to Buy It: Matching Street Clothing Photos in Online Shops , 2015, 2015 IEEE International Conference on Computer Vision (ICCV).
[21] 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.
[22] Chenxi Liu,et al. ScaleNet: Guiding Object Proposal Generation in Supermarkets and Beyond , 2017, 2017 IEEE International Conference on Computer Vision (ICCV).
[23] Yoshua Bengio,et al. Generative Adversarial Nets , 2014, NIPS.
[24] Asaf Tzadok,et al. Fine-Grained Recognition of Thousands of Object Categories with Single-Example Training , 2017, 2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).
[25] Shih-Fu Chang,et al. Learning Spread-Out Local Feature Descriptors , 2017, 2017 IEEE International Conference on Computer Vision (ICCV).
[26] Tomas Pfister,et al. Learning from Simulated and Unsupervised Images through Adversarial Training , 2016, 2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).
[27] Luigi di Stefano,et al. Product Recognition in Store Shelves as a Sub-Graph Isomorphism Problem , 2017, ICIAP.
[28] Thomas Brox,et al. U-Net: Convolutional Networks for Biomedical Image Segmentation , 2015, MICCAI.
[29] Roberto Pierdicca,et al. Robust and affordable retail customer profiling by vision and radio beacon sensor fusion , 2016, Pattern Recognit. Lett..
[30] Kristen Grauman,et al. Connecting the Dots with Landmarks: Discriminatively Learning Domain-Invariant Features for Unsupervised Domain Adaptation , 2013, ICML.
[31] Jimmy Ba,et al. Adam: A Method for Stochastic Optimization , 2014, ICLR.
[32] Müjdat Çetin,et al. Context-aware hybrid classification system for fine-grained retail product recognition , 2016, 2016 IEEE 12th Image, Video, and Multidimensional Signal Processing Workshop (IVMSP).
[33] Ronan Sicre,et al. Particular object retrieval with integral max-pooling of CNN activations , 2015, ICLR.
[34] Yu Zhou,et al. Matching User Photos to Online Products with Robust Deep Features , 2016, ICMR.
[35] Trevor Darrell,et al. Adversarial Discriminative Domain Adaptation , 2017, 2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).
[36] P. Cochat,et al. Et al , 2008, Archives de pediatrie : organe officiel de la Societe francaise de pediatrie.
[37] Emanuele Frontoni,et al. Mobile robot for retail surveying and inventory using visual and textual analysis of monocular pictures based on deep learning , 2017, 2017 European Conference on Mobile Robots (ECMR).
[38] Narayanan Vijaykrishnan,et al. A hardware accelerated multilevel visual classifier for embedded visual-assist systems , 2014, 2014 IEEE/ACM International Conference on Computer-Aided Design (ICCAD).
[39] Michele Merler,et al. Recognizing Groceries in situ Using in vitro Training Data , 2007, 2007 IEEE Conference on Computer Vision and Pattern Recognition.
[40] 拓海 杉山,et al. “Unpaired Image-to-Image Translation using Cycle-Consistent Adversarial Networks”の学習報告 , 2017 .
[41] Albert Gordo,et al. Deep Image Retrieval: Learning Global Representations for Image Search , 2016, ECCV.
[42] Alexander J. Smola,et al. Sampling Matters in Deep Embedding Learning , 2017, 2017 IEEE International Conference on Computer Vision (ICCV).
[43] Narayanan Vijaykrishnan,et al. Visual co-occurrence network: using context for large-scale object recognition in retail , 2015, 2015 13th IEEE Symposium on Embedded Systems For Real-time Multimedia (ESTIMedia).
[44] Feng Zhou,et al. Embedding Label Structures for Fine-Grained Feature Representation , 2015, 2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).