Frankenstein: Learning Deep Face Representations using Small Data

Frankenstein: Learning Deep Face Representations using Small Data

21 March 2016

Xiaojiang Peng

Timothy M. Hospedales

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

8 / 8 papers shown

Title
On the Effectiveness of Neural Ensembles for Image Classification with Small Datasets Lorenzo Brigato Luca Iocchi UQCV 22 0 0 29 Nov 2021
Residual Tensor Train: A Quantum-inspired Approach for Learning Multiple Multilinear Correlations Yiwei Chen Y. Pan D. Dong 19 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 24 39 0 16 Jul 2021
A Close Look at Deep Learning with Small Data Lorenzo Brigato Luca Iocchi 19 139 0 28 Mar 2020
Synthetic Data for Deep Learning Sergey I. Nikolenko 46 348 0 25 Sep 2019
A Survey on Face Data Augmentation Xiang Wang Kai Wang Shiguo Lian CVBM 13 130 0 26 Apr 2019
Training Convolutional Neural Networks with Limited Training Data for Ear Recognition in the Wild Žiga Emeršič Dejan Štepec Vitomir Štruc Peter Peer CVBM 29 84 0 27 Nov 2017
Deeply learned face representations are sparse, selective, and robust Yi Sun Xiaogang Wang Xiaoou Tang CVBM 250 921 0 03 Dec 2014