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Learning Structure and Strength of CNN Filters for Small Sample Size
  Training

Learning Structure and Strength of CNN Filters for Small Sample Size Training

30 March 2018
Rohit Keshari
Mayank Vatsa
Richa Singh
A. Noore
ArXivPDFHTML

Papers citing "Learning Structure and Strength of CNN Filters for Small Sample Size Training"

8 / 8 papers shown
Title
Image Classification with Small Datasets: Overview and Benchmark
Image Classification with Small Datasets: Overview and Benchmark
Lorenzo Brigato
Björn Barz
Luca Iocchi
Joachim Denzler
VLM
30
17
0
23 Dec 2022
Unravelling Small Sample Size Problems in the Deep Learning World
Unravelling Small Sample Size Problems in the Deep Learning World
Rohit Keshari
Soumyadeep Ghosh
S. Chhabra
Mayank Vatsa
Richa Singh
45
33
0
08 Aug 2020
Meta-Transfer Learning through Hard Tasks
Meta-Transfer Learning through Hard Tasks
Qianru Sun
Yaoyao Liu
Zhaozheng Chen
Tat-Seng Chua
Bernt Schiele
14
98
0
07 Oct 2019
Individualized Multilayer Tensor Learning with An Application in Imaging
  Analysis
Individualized Multilayer Tensor Learning with An Application in Imaging Analysis
Xiwei Tang
Xuan Bi
Annie Qu
30
19
0
21 Mar 2019
Extension of Convolutional Neural Network with General Image Processing
  Kernels
Extension of Convolutional Neural Network with General Image Processing Kernels
J. Jung
Yousun Shin
Youngmin Kwon
8
9
0
16 Jan 2019
Guided Dropout
Guided Dropout
Rohit Keshari
Richa Singh
Mayank Vatsa
BDL
26
37
0
10 Dec 2018
Meta-Transfer Learning for Few-Shot Learning
Meta-Transfer Learning for Few-Shot Learning
Qianru Sun
Yaoyao Liu
Tat-Seng Chua
Bernt Schiele
75
1,060
0
06 Dec 2018
Transfer Learning for Clinical Time Series Analysis using Recurrent
  Neural Networks
Transfer Learning for Clinical Time Series Analysis using Recurrent Neural Networks
Priyanka Gupta
Pankaj Malhotra
L. Vig
Gautam M. Shroff
27
40
0
04 Jul 2018
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