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Frankenstein: Learning Deep Face Representations using Small Data

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"

5 / 5 papers shown
Title
On the Effectiveness of Neural Ensembles for Image Classification with
  Small Datasets
On the Effectiveness of Neural Ensembles for Image Classification with Small Datasets
Lorenzo Brigato
Luca Iocchi
UQCV
12
0
0
29 Nov 2021
Residual Tensor Train: A Quantum-inspired Approach for Learning Multiple
  Multilinear Correlations
Residual Tensor Train: A Quantum-inspired Approach for Learning Multiple Multilinear Correlations
Yiwei Chen
Y. Pan
D. Dong
11
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
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
22
38
0
16 Jul 2021
A Survey on Face Data Augmentation
A Survey on Face Data Augmentation
Xiang Wang
Kai Wang
Shiguo Lian
CVBM
11
129
0
26 Apr 2019
Deeply learned face representations are sparse, selective, and robust
Deeply learned face representations are sparse, selective, and robust
Yi Sun
Xiaogang Wang
Xiaoou Tang
CVBM
239
918
0
03 Dec 2014
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