人脸识别不确定性、大规模训练相关
- 总综述
- 人脸检测
- Survey
- Papers
- Talks
- 大规模训练
- Survey
- Papers
- Talks
- 不确定性
- Survey
- Papers
- Model uncertainty
- Data uncertainty
- Talks
- 噪声
- Survey
- Papers
- Talks
- 数据集
- 2020 | The Elements of End-to-end Deep Face Recognition: A Survey of Recent Advances | Hang Du, Tao Mei |
- 2021 | FaceX-Zoo: A PyTorch Toolbox for Face Recognition | Jun Wang, Tao Mei | github
- 2019 | PFLD: A Practical Facial Landmark Detector | Xiaojie Guo, Haibin Ling |
- 2020 | Partial FC: Training 10 Million Identities on a Single Machine | Xiang An, Ying Fu | github
- 2016 | Uncertainty in Deep Learning | YARIN GAL
- 2017 NIPS | What Uncertainties Do We Need in Bayesian Deep Learning for Computer Vision? | Alex Kendall, Yarin Gal |
- 2020 arXiv | Face Image Quality Assessment: A Literature Survey | Torsten Schlett, Christoph Busch
- 2019 Bilibili | 旷视上海研究院院长危夷晨：不确定性学习在视觉识别中的应用
- 2016 PMLR | Dropout as a Bayesian Approximation: Representing Model Uncertainty in Deep Learning
- 2019 EURASIP Journal on Image and Video Processing | Face recognition with Bayesian convolutional networks for robust surveillance systems | Umara Zafar, et al. |
- 2019 CVPR | Striking the Right Balance With Uncertainty | Salman Khan, Ling Shao
- 2019 arXiv | On the Capacity of Face Representation | Sixue Gong, Anil K. Jain |
- 2019 ICCV | Probabilistic Face Embeddings | Yichun Shi, Anil K. Jain | github
- 2020 CVPR | Data Uncertainty Learning in Face Recognition | Jie Chang, Zhonghao Lan, Yichen Wei | github(not official)
- 2020 CVPR | Towards Universal Representation Learning for Deep Face Recognition | Yichun Shi, Anil K. Jain
- 2021 arXiv | Reliable Probabilistic Face Embeddings in the Wild | Kai Chen, Zhengming Yi | github
- 2017 IEEE INISTA | Deep convolutional encoder-decoder network with model uncertainty for semantic segmentation
- 2015 BMVC | Bayesian segnet: Model uncertainty in deep convolutional encoder-decoder architectures for scene understanding | Alex Kendall, Roberto Cipolla
- 2019 ICCV | Gaussian YOLOv3: An Accurate and Fast Object Detector Using Localization Uncertainty for Autonomous Driving |
- 2019 IEEE ITSC | Uncertainty Estimation in One-Stage Object Detection |
- 2019 ICCV | Robust Person Re-Identification by Modelling Feature Uncertainty | Tianyuan Yu, Tao Xiang
- 2020 arXiv | Exploiting Sample Uncertainty for Domain Adaptive Person Re-Identification | Kecheng Zheng, Zheng-Jun Zha
- 2020 | Learning from Noisy Labels with Deep Neural Networks: A Survey | Hwanjun Song, Jae-Gil Lee |
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2018 IEEE Transactions on Information Forensics and Security | A Light CNN for Deep Face Representation With Noisy Labels | Xiang Wu, Tieniu Tan
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2018 ECCV | The Devil of Face Recognition is in the Noise | Fei Wang, Chen Change Loy |
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2019 ICCV | Co-Mining: Deep Face Recognition With Noisy Labels |Xiaobo Wang, Tao Mei |
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2019 CVPR | Noise-Tolerant Paradigm for Training Face Recognition CNNs | Wei Hu, Ruirui Li |
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2020 CVPR | Global-Local GCN: Large-Scale Label Noise Cleansing for Face Recognition | Yaobin Zhang, Dongchao Wen |
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2020 ECCV | Semi-Siamese Training for Shallow Face Learning | Hang Du, Tao Mei | github
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Out of distribution
- 2018 | A Baseline for Detecting Misclassified and Out-of-Distribution Examples in Neural Networks | Dan Hendrycks, Kevin Gimpel |
- 2021 CVPR | WebFace260M | paper