Domain Generalization Using a Mixture of Multiple Latent Domains
暂无分享,去创建一个
[1] Leon A. Gatys,et al. Image Style Transfer Using Convolutional Neural Networks , 2016, 2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).
[2] Alexei A. Efros,et al. Unbiased look at dataset bias , 2011, CVPR 2011.
[3] J. MacQueen. Some methods for classification and analysis of multivariate observations , 1967 .
[4] George Papandreou,et al. Encoder-Decoder with Atrous Separable Convolution for Semantic Image Segmentation , 2018, ECCV.
[5] Yongxin Yang,et al. Deeper, Broader and Artier Domain Generalization , 2017, 2017 IEEE International Conference on Computer Vision (ICCV).
[6] Kaiming He,et al. Faster R-CNN: Towards Real-Time Object Detection with Region Proposal Networks , 2015, IEEE Transactions on Pattern Analysis and Machine Intelligence.
[7] Geoffrey E. Hinton,et al. Visualizing Data using t-SNE , 2008 .
[8] Barbara Caputo,et al. Domain Generalization with Domain-Specific Aggregation Modules , 2018, GCPR.
[9] Yongxin Yang,et al. Learning to Generalize: Meta-Learning for Domain Generalization , 2017, AAAI.
[10] Antonio Torralba,et al. LabelMe: A Database and Web-Based Tool for Image Annotation , 2008, International Journal of Computer Vision.
[11] Mengjie Zhang,et al. Domain Generalization for Object Recognition with Multi-task Autoencoders , 2015, 2015 IEEE International Conference on Computer Vision (ICCV).
[12] Michael I. Jordan,et al. Learning Transferable Features with Deep Adaptation Networks , 2015, ICML.
[13] Ming-Hsuan Yang,et al. CrDoCo: Pixel-Level Domain Transfer With Cross-Domain Consistency , 2019, 2019 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).
[14] D. Tao,et al. Deep Domain Generalization via Conditional Invariant Adversarial Networks , 2018, ECCV.
[15] Yoshua Bengio,et al. Semi-supervised Learning by Entropy Minimization , 2004, CAP.
[16] J. Munkres. ALGORITHMS FOR THE ASSIGNMENT AND TRANSIORTATION tROBLEMS* , 1957 .
[17] Alex ChiChung Kot,et al. Domain Generalization with Adversarial Feature Learning , 2018, 2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition.
[18] Yoshua Bengio,et al. Generative Adversarial Nets , 2014, NIPS.
[19] Pong C. Yuen,et al. Multi-Adversarial Discriminative Deep Domain Generalization for Face Presentation Attack Detection , 2019, 2019 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).
[20] Serge J. Belongie,et al. Arbitrary Style Transfer in Real-Time with Adaptive Instance Normalization , 2017, 2017 IEEE International Conference on Computer Vision (ICCV).
[21] Michael I. Jordan,et al. Unsupervised Domain Adaptation with Residual Transfer Networks , 2016, NIPS.
[22] Liang Lin,et al. Deep Cocktail Network: Multi-source Unsupervised Domain Adaptation with Category Shift , 2018, 2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition.
[23] Barbara Caputo,et al. Boosting Domain Adaptation by Discovering Latent Domains , 2018, 2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition.
[24] Jiaying Liu,et al. Demystifying Neural Style Transfer , 2017, IJCAI.
[25] Swami Sankaranarayanan,et al. MetaReg: Towards Domain Generalization using Meta-Regularization , 2018, NeurIPS.
[26] Dumitru Erhan,et al. Unsupervised Pixel-Level Domain Adaptation with Generative Adversarial Networks , 2016, 2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).
[27] Tatsuya Harada,et al. Maximum Classifier Discrepancy for Unsupervised Domain Adaptation , 2017, 2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition.
[28] Mingkui Tan,et al. Domain-Symmetric Networks for Adversarial Domain Adaptation , 2019, 2019 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).
[29] Donald A. Adjeroh,et al. Unified Deep Supervised Domain Adaptation and Generalization , 2017, 2017 IEEE International Conference on Computer Vision (ICCV).
[30] Fabio Maria Carlucci,et al. Domain Generalization by Solving Jigsaw Puzzles , 2019, 2019 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).
[31] Pietro Perona,et al. Learning Generative Visual Models from Few Training Examples: An Incremental Bayesian Approach Tested on 101 Object Categories , 2004, 2004 Conference on Computer Vision and Pattern Recognition Workshop.
[32] Jianguo Zhang,et al. The PASCAL Visual Object Classes Challenge , 2006 .
[33] Barbara Caputo,et al. Best Sources Forward: Domain Generalization through Source-Specific Nets , 2018, 2018 25th IEEE International Conference on Image Processing (ICIP).
[34] Victor S. Lempitsky,et al. Unsupervised Domain Adaptation by Backpropagation , 2014, ICML.
[35] Antonio Torralba,et al. Exploiting hierarchical context on a large database of object categories , 2010, 2010 IEEE Computer Society Conference on Computer Vision and Pattern Recognition.
[36] Luc Van Gool,et al. The 2005 PASCAL Visual Object Classes Challenge , 2005, MLCW.
[37] Bing Liu,et al. Multi-Domain Adversarial Learning for Slot Filling in Spoken Language Understanding , 2017, ArXiv.
[38] Yun Fu,et al. Deep Domain Generalization With Structured Low-Rank Constraint , 2018, IEEE Transactions on Image Processing.