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An Open-set Recognition and Few-Shot Learning Dataset for Audio Event
  Classification in Domestic Environments

An Open-set Recognition and Few-Shot Learning Dataset for Audio Event Classification in Domestic Environments

26 February 2020
Javier Naranjo-Alcazar
Sergi Perez-Castanos
P. Zuccarello
Ana M. Torres
Jose J. Lopez
Franscesc J. Ferri
M. Cobos
ArXivPDFHTML

Papers citing "An Open-set Recognition and Few-Shot Learning Dataset for Audio Event Classification in Domestic Environments"

4 / 4 papers shown
Title
Why do Angular Margin Losses work well for Semi-Supervised Anomalous
  Sound Detection?
Why do Angular Margin Losses work well for Semi-Supervised Anomalous Sound Detection?
Kevin Wilkinghoff
Frank Kurth
AAML
UQCV
25
8
0
27 Sep 2023
Learning to detect an animal sound from five examples
Learning to detect an animal sound from five examples
I. Nolasco
Shubhr Singh
V. Morfi
Vincent Lostanlen
A. Strandburg-Peshkin
...
Michael G. Emmerson
E. Versace
E. Grout
Haohe Liu
D. Stowell
41
37
0
22 May 2023
Dead Pixel Test Using Effective Receptive Field
Dead Pixel Test Using Effective Receptive Field
Bum Jun Kim
Hyeyeon Choi
Hyeonah Jang
Dong Gu Lee
Wonseok Jeong
Sang Woo Kim
13
25
0
31 Aug 2021
A Survey on Machine Learning from Few Samples
A Survey on Machine Learning from Few Samples
Jiang Lu
Pinghua Gong
Jieping Ye
Jianwei Zhang
Changshu Zhang
14
47
0
06 Sep 2020
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