Frankenstein: Learning Deep Face Representations using Small Data

21 March 2016

Guosheng Hu

Xiaojiang Peng

Yongxin Yang

Timothy M. Hospedales

Jakob Verbeek

CVBM

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Papers citing "Frankenstein: Learning Deep Face Representations using Small Data"

27 / 27 papers shown

Title
AttFC: Attention Fully-Connected Layer for Large-Scale Face Recognition with One GPU Zhuowen Zheng Yain-Whar Si Xiaochen Yuan Junwei Duan Ke Wang Xiaofan Li Xinyuan Zhang Xueyuan Gong CVBM 71 0 0 10 Mar 2025
ScaleNet: An Unsupervised Representation Learning Method for Limited Information Huili Huang M. M. Roozbahani SSL 18 806 0 03 Oct 2023
TANGOS: Regularizing Tabular Neural Networks through Gradient Orthogonalization and Specialization Alan Jeffares Tennison Liu Jonathan Crabbé F. Imrie M. Schaar CML 50 22 0 09 Mar 2023
On the Effectiveness of Neural Ensembles for Image Classification with Small Datasets Lorenzo Brigato Luca Iocchi UQCV 24 0 0 29 Nov 2021
Residual Tensor Train: A Quantum-inspired Approach for Learning Multiple Multilinear Correlations Yiwei Chen Y. Pan D. Dong 21 3 0 19 Aug 2021
A Comparative Study of Deep Learning Classification Methods on a Small Environmental Microorganism Image Dataset (EMDS-6): from Convolutional Neural Networks to Visual Transformers Penghui Zhao Chen Li M. Rahaman Hao Xu Hechen Yang Hongzan Sun Tao Jiang M. Grzegorzek VLM 27 39 0 16 Jul 2021
An Efficient Training Approach for Very Large Scale Face Recognition Kai Wang Shuo Wang Panpan Zhang Zhipeng Zhou Zheng Zhu Xiaobo Wang Xiaojiang Peng Baigui Sun Hao Li Yang You CVBM 51 23 0 21 May 2021
FusiformNet: Extracting Discriminative Facial Features on Different Levels Kyo Takano CVBM 8 0 0 01 Nov 2020
DVG-Face: Dual Variational Generation for Heterogeneous Face Recognition Chaoyou Fu Xiang Wu Yibo Hu Huaibo Huang Ran He CVBM 13 83 0 20 Sep 2020
SplitFed: When Federated Learning Meets Split Learning Chandra Thapa Pathum Chamikara Mahawaga Arachchige S. Çamtepe Lichao Sun FedML 17 567 0 25 Apr 2020
A Close Look at Deep Learning with Small Data Lorenzo Brigato Luca Iocchi 21 139 0 28 Mar 2020
Mis-classified Vector Guided Softmax Loss for Face Recognition Xiaobo Wang Shifeng Zhang Shuo Wang Tianyu Fu Hailin Shi Tao Mei CVBM 11 162 0 26 Nov 2019
Synthetic Data for Deep Learning Sergey I. Nikolenko 46 348 0 25 Sep 2019
Controlling for Confounders in Multimodal Emotion Classification via Adversarial Learning Mimansa Jaiswal Zakaria Aldeneh E. Provost 18 14 0 23 Aug 2019
Semi-Supervised Self-Growing Generative Adversarial Networks for Image Recognition Haoqian Wang Zhiwei Xu Jun Xu Wangpeng An Lei Zhang Qionghai Dai GAN 13 8 0 11 Aug 2019
On the use of Pairwise Distance Learning for Brain Signal Classification with Limited Observations David Calhas E. Romero Rui Henriques 4 28 0 05 Jun 2019
Dynamically Visual Disambiguation of Keyword-based Image Search Yazhou Yao Zeren Sun Fumin Shen Li Liu Limin Wang Fan Zhu Lizhong Ding Gangshan Wu Ling Shao 26 17 0 27 May 2019
A Survey on Face Data Augmentation Xiang Wang Kai Wang Kai Wang CVBM 15 130 0 26 Apr 2019
Understanding Unconventional Preprocessors in Deep Convolutional Neural Networks for Face Identification Chollette C. Olisah Lyndon N. Smith CVBM 6 8 0 27 Mar 2019
Semantic Alignment: Finding Semantically Consistent Ground-truth for Facial Landmark Detection Zhiwei Liu Xiangyu Zhu Guosheng Hu Haiyun Guo Ming Tang Zhen Lei N. Robertson Jinqiao Wang CVBM 19 58 0 26 Mar 2019
Deep Learning on Small Datasets without Pre-Training using Cosine Loss Björn Barz Joachim Denzler 11 129 0 25 Jan 2019
Can Synthetic Faces Undo the Damage of Dataset Bias to Face Recognition and Facial Landmark Detection? Adam Kortylewski Bernhard Egger Andreas Morel-Forster Andreas C. Schneider Thomas Gerig Clemens Blumer Corius Reyneke T. Vetter CVBM 25 5 0 19 Nov 2018
Training Deep Face Recognition Systems with Synthetic Data Adam Kortylewski Andreas C. Schneider Thomas Gerig Bernhard Egger Andreas Morel-Forster T. Vetter 34 48 0 16 Feb 2018
Training Convolutional Neural Networks with Limited Training Data for Ear Recognition in the Wild Žiga Emeršič Dejan Štepec Vitomir Štruc Peter Peer CVBM 34 84 0 27 Nov 2017
The Do's and Don'ts for CNN-based Face Verification Ankan Bansal Carlos D. Castillo Rajeev Ranjan Rama Chellappa CVBM 17 96 0 21 May 2017
Deep Convolutional Neural Network Design Patterns L. Smith Nicholay Topin AI4CE OOD 30 59 0 02 Nov 2016
Deeply learned face representations are sparse, selective, and robust Yi Sun Xiaogang Wang Xiaoou Tang CVBM 250 921 0 03 Dec 2014