Joint Learning of Generative Translator and Classifier for Visually Similar Classes
暂无分享,去创建一个
[1] Xiaoming Liu,et al. Learning Deep Models for Face Anti-Spoofing: Binary or Auxiliary Supervision , 2018, 2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition.
[2] 拓海 杉山,et al. “Unpaired Image-to-Image Translation using Cycle-Consistent Adversarial Networks”の学習報告 , 2017 .
[3] James Philbin,et al. FaceNet: A unified embedding for face recognition and clustering , 2015, 2015 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).
[4] Addisson Salazar,et al. Surrogate techniques for testing fraud detection algorithms in credit card operations , 2014, 2014 International Carnahan Conference on Security Technology (ICCST).
[5] Augustus Odena,et al. Semi-Supervised Learning with Generative Adversarial Networks , 2016, ArXiv.
[6] Tatsuya Harada,et al. Between-Class Learning for Image Classification , 2017, 2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition.
[7] Abdenour Hadid,et al. An original face anti-spoofing approach using partial convolutional neural network , 2016, 2016 Sixth International Conference on Image Processing Theory, Tools and Applications (IPTA).
[8] Fan Yang,et al. Good Semi-supervised Learning That Requires a Bad GAN , 2017, NIPS.
[9] Tien Dat Nguyen,et al. Combining Deep and Handcrafted Image Features for Presentation Attack Detection in Face Recognition Systems Using Visible-Light Camera Sensors , 2018, Sensors.
[10] Jan Kautz,et al. Multimodal Unsupervised Image-to-Image Translation , 2018, ECCV.
[11] Tom White,et al. Generative Adversarial Networks: An Overview , 2017, IEEE Signal Processing Magazine.
[12] Yoshua Bengio,et al. Generative Adversarial Nets , 2014, NIPS.
[13] Lior Wolf,et al. Unsupervised Cross-Domain Image Generation , 2016, ICLR.
[14] Geoffrey E. Hinton,et al. Visualizing Data using t-SNE , 2008 .
[15] Shiqi Wang,et al. Learning Generalized Deep Feature Representation for Face Anti-Spoofing , 2018, IEEE Transactions on Information Forensics and Security.
[16] R. Devon Hjelm,et al. Locality and compositionality in zero-shot learning , 2019, ICLR.
[17] Raymond Y. K. Lau,et al. Least Squares Generative Adversarial Networks , 2016, 2017 IEEE International Conference on Computer Vision (ICCV).
[18] Xiaoming Liu,et al. Face anti-spoofing using patch and depth-based CNNs , 2017, 2017 IEEE International Joint Conference on Biometrics (IJCB).
[19] Stan Z. Li,et al. Learn Convolutional Neural Network for Face Anti-Spoofing , 2014, ArXiv.
[20] Jost Tobias Springenberg,et al. Unsupervised and Semi-supervised Learning with Categorical Generative Adversarial Networks , 2015, ICLR.
[21] Xu Zhao,et al. Face spoofing detection by fusing binocular depth and spatial pyramid coding micro-texture features , 2017, 2017 IEEE International Conference on Image Processing (ICIP).
[22] Guifen Tian,et al. Spoofing detection for embedded face recognition system using a low cost stereo camera , 2016, 2016 23rd International Conference on Pattern Recognition (ICPR).
[23] Jun Zhu,et al. Triple Generative Adversarial Nets , 2017, NIPS.
[24] Di Tang,et al. Face Flashing: a Secure Liveness Detection Protocol based on Light Reflections , 2018, NDSS.
[25] Aaron C. Courville,et al. Adversarially Learned Inference , 2016, ICLR.
[26] Jan Kautz,et al. Unsupervised Image-to-Image Translation Networks , 2017, NIPS.
[27] Philip Bachman,et al. Augmented CycleGAN: Learning Many-to-Many Mappings from Unpaired Data , 2018, ICML.
[28] Pieter Abbeel,et al. InfoGAN: Interpretable Representation Learning by Information Maximizing Generative Adversarial Nets , 2016, NIPS.
[29] Simon Osindero,et al. Conditional Generative Adversarial Nets , 2014, ArXiv.
[30] Zhe Gan,et al. Triangle Generative Adversarial Networks , 2017, NIPS.
[31] Alexei A. Efros,et al. Image-to-Image Translation with Conditional Adversarial Networks , 2016, 2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).
[32] Paul A. Viola,et al. Rapid object detection using a boosted cascade of simple features , 2001, Proceedings of the 2001 IEEE Computer Society Conference on Computer Vision and Pattern Recognition. CVPR 2001.
[33] Max Welling,et al. Auto-Encoding Variational Bayes , 2013, ICLR.
[34] Jonathon Shlens,et al. Conditional Image Synthesis with Auxiliary Classifier GANs , 2016, ICML.
[35] R. Fisher. THE USE OF MULTIPLE MEASUREMENTS IN TAXONOMIC PROBLEMS , 1936 .
[36] Maneesh Kumar Singh,et al. DRIT++: Diverse Image-to-Image Translation via Disentangled Representations , 2019, International Journal of Computer Vision.
[37] Wojciech Zaremba,et al. Improved Techniques for Training GANs , 2016, NIPS.
[38] Alexei A. Efros,et al. Toward Multimodal Image-to-Image Translation , 2017, NIPS.
[39] Jung-Woo Ha,et al. StarGAN: Unified Generative Adversarial Networks for Multi-domain Image-to-Image Translation , 2017, 2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition.
[40] Junjie Yan,et al. A face antispoofing database with diverse attacks , 2012, 2012 5th IAPR International Conference on Biometrics (ICB).
[41] H. Eichenbaum,et al. Interplay of Hippocampus and Prefrontal Cortex in Memory , 2013, Current Biology.
[42] Amos J. Storkey,et al. Data Augmentation Generative Adversarial Networks , 2017, ICLR 2018.
[43] Kaiqi Huang,et al. Beyond Triplet Loss: A Deep Quadruplet Network for Person Re-identification , 2017, 2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).
[44] Yaman Akbulut,et al. Deep learning based face liveness detection in videos , 2017, 2017 International Artificial Intelligence and Data Processing Symposium (IDAP).