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Multiscale CNN based Deep Metric Learning for Bioacoustic
  Classification: Overcoming Training Data Scarcity Using Dynamic Triplet Loss
v1v2 (latest)

Multiscale CNN based Deep Metric Learning for Bioacoustic Classification: Overcoming Training Data Scarcity Using Dynamic Triplet Loss

26 March 2019
Anshul Thakur
Daksh Thapar
Padmanabhan Rajan
A. Nigam
ArXiv (abs)PDFHTML

Papers citing "Multiscale CNN based Deep Metric Learning for Bioacoustic Classification: Overcoming Training Data Scarcity Using Dynamic Triplet Loss"

4 / 4 papers shown
Computational bioacoustics with deep learning: a review and roadmap
Computational bioacoustics with deep learning: a review and roadmap
D. Stowell
273
382
0
13 Dec 2021
One-Shot Learning with Triplet Loss for Vegetation Classification Tasks
One-Shot Learning with Triplet Loss for Vegetation Classification TasksComputer optics (CO), 2020
A. Uzhinskiy
G. Ososkov
P. Goncharov
A. Nechaevskiy
A. Smetanin
VLM
139
17
0
14 Dec 2020
Understanding and Exploiting Dependent Variables with Deep Metric
  Learning
Understanding and Exploiting Dependent Variables with Deep Metric LearningIntelligent Systems with Applications (ISA), 2020
Niall O' Mahony
S. Campbell
A. Carvalho
L. Krpalkova
G. Velasco-Hernández
Daniel Riordan
Joseph Walsh
196
1
0
08 Sep 2020
Metric Learning with Background Noise Class for Few-shot Detection of
  Rare Sound Events
Metric Learning with Background Noise Class for Few-shot Detection of Rare Sound EventsIEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), 2019
Kazuki Shimada
Yuichiro Koyama
A. Inoue
306
26
0
30 Oct 2019
1
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