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Multi-Level and Multi-Scale Feature Aggregation Using Pre-trained
  Convolutional Neural Networks for Music Auto-tagging

Multi-Level and Multi-Scale Feature Aggregation Using Pre-trained Convolutional Neural Networks for Music Auto-tagging

6 March 2017
Jongpil Lee
Juhan Nam
ArXivPDFHTML

Papers citing "Multi-Level and Multi-Scale Feature Aggregation Using Pre-trained Convolutional Neural Networks for Music Auto-tagging"

6 / 6 papers shown
Title
Feature Aggregation in Joint Sound Classification and Localization
  Neural Networks
Feature Aggregation in Joint Sound Classification and Localization Neural Networks
Brendan Healy
Patrick McNamee
Z. Nili Ahmadabadi
13
0
0
29 Oct 2023
Acoustic Scene Clustering Using Joint Optimization of Deep Embedding
  Learning and Clustering Iteration
Acoustic Scene Clustering Using Joint Optimization of Deep Embedding Learning and Clustering Iteration
Yanxiong Li
Mingle Liu
Wucheng Wang
Yuhan Zhang
Qianhua He
12
21
0
09 Jun 2023
Towards Proper Contrastive Self-supervised Learning Strategies For Music
  Audio Representation
Towards Proper Contrastive Self-supervised Learning Strategies For Music Audio Representation
Jeong-Eun Choi
Seongwon Jang
Hyunsouk Cho
Sehee Chung
SSL
8
6
0
10 Jul 2022
Do sound event representations generalize to other audio tasks? A case
  study in audio transfer learning
Do sound event representations generalize to other audio tasks? A case study in audio transfer learning
Anurag Kumar
Yun Wang
V. Ithapu
Christian Fuegen
6
3
0
21 Jun 2021
Fast, Accurate, and Lightweight Super-Resolution with Cascading Residual
  Network
Fast, Accurate, and Lightweight Super-Resolution with Cascading Residual Network
Namhyuk Ahn
Byungkon Kang
Kyung-ah Sohn
SupR
13
1,097
0
23 Mar 2018
End-to-end learning for music audio tagging at scale
End-to-end learning for music audio tagging at scale
Jordi Pons
Oriol Nieto
Matthew Prockup
Erik M. Schmidt
Andreas F. Ehmann
Xavier Serra
25
176
0
07 Nov 2017
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