Catastrophic Interference in Disguised Face Recognition
暂无分享,去创建一个
Jordi Gonzàlez | Pau Rodríguez | Josep M. Gonfaus | F. Xavier Roca | Parichehr B. Ardakani | Diego Velazquez Dorta
[1] Trevor Darrell,et al. Rich Feature Hierarchies for Accurate Object Detection and Semantic Segmentation , 2013, 2014 IEEE Conference on Computer Vision and Pattern Recognition.
[2] Ethan Stump,et al. Reduction of catastrophic forgetting with transfer learning and ternary output codes , 2015, 2015 International Joint Conference on Neural Networks (IJCNN).
[3] Yu Qiao,et al. Joint Face Detection and Alignment Using Multitask Cascaded Convolutional Networks , 2016, IEEE Signal Processing Letters.
[4] Bing Liu,et al. Lifelong machine learning: a paradigm for continuous learning , 2017, Frontiers of Computer Science.
[5] Yu Qiao,et al. A Discriminative Feature Learning Approach for Deep Face Recognition , 2016, ECCV.
[6] Geoffrey E. Hinton,et al. Visualizing Data using t-SNE , 2008 .
[7] Carlos D. Castillo,et al. Deep Features for Recognizing Disguised Faces in the Wild , 2018, 2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW).
[8] Trevor Darrell,et al. DeCAF: A Deep Convolutional Activation Feature for Generic Visual Recognition , 2013, ICML.
[9] Rich Caruana,et al. Multitask Learning , 1998, Encyclopedia of Machine Learning and Data Mining.
[10] Omkar M. Parkhi,et al. VGGFace2: A Dataset for Recognising Faces across Pose and Age , 2017, 2018 13th IEEE International Conference on Automatic Face & Gesture Recognition (FG 2018).
[11] Rama Chellappa,et al. Disguised Faces in the Wild , 2018, 2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW).
[12] Anthony V. Robins,et al. Catastrophic Forgetting, Rehearsal and Pseudorehearsal , 1995, Connect. Sci..
[13] Andrew Zisserman,et al. Deep Face Recognition , 2015, BMVC.
[14] Qiang Yang,et al. Lifelong Machine Learning Systems: Beyond Learning Algorithms , 2013, AAAI Spring Symposium: Lifelong Machine Learning.
[15] Carlos D. Castillo,et al. An All-In-One Convolutional Neural Network for Face Analysis , 2016, 2017 12th IEEE International Conference on Automatic Face & Gesture Recognition (FG 2017).
[16] David Filliat,et al. Generative Models from the perspective of Continual Learning , 2018, 2019 International Joint Conference on Neural Networks (IJCNN).
[17] Tal Hassner,et al. Face recognition in unconstrained videos with matched background similarity , 2011, CVPR 2011.
[18] Ronald Kemker,et al. Measuring Catastrophic Forgetting in Neural Networks , 2017, AAAI.
[19] Gang Sun,et al. Squeeze-and-Excitation Networks , 2017, 2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition.
[20] Jian Sun,et al. Deep Residual Learning for Image Recognition , 2015, 2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).
[21] Evgeny Smirnov,et al. Hard Example Mining with Auxiliary Embeddings , 2018, 2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW).
[22] Marwan Mattar,et al. Labeled Faces in the Wild: A Database forStudying Face Recognition in Unconstrained Environments , 2008 .
[23] Abhinav Dhall,et al. DisguiseNet: A Contrastive Approach for Disguised Face Verification in the Wild , 2018, 2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW).
[24] Carlos D. Castillo,et al. UMDFaces: An annotated face dataset for training deep networks , 2016, 2017 IEEE International Joint Conference on Biometrics (IJCB).
[25] Daksha Yadav,et al. Face Verification with Disguise Variations via Deep Disguise Recognizer , 2018, 2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW).
[26] 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.
[27] Yuxiao Hu,et al. MS-Celeb-1M: A Dataset and Benchmark for Large-Scale Face Recognition , 2016, ECCV.
[28] Winston H. Hsu,et al. Deep Disguised Faces Recognition , 2018, 2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW).