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

6 March 2017

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

8 / 8 papers shown

Title
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 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 Jeong-Eun Choi Seongwon Jang Hyunsouk Cho Sehee Chung SSL 8 6 0 10 Jul 2022
Head2Toe: Utilizing Intermediate Representations for Better Transfer Learning Utku Evci Vincent Dumoulin Hugo Larochelle Michael C. Mozer 23 83 0 10 Jan 2022
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
Disentangled Multidimensional Metric Learning for Music Similarity Jongpil Lee Nicholas J. Bryan Justin Salamon Zeyu Jin Juhan Nam 16 40 0 09 Aug 2020
Fast, Accurate, and Lightweight Super-Resolution with Cascading Residual Network Namhyuk Ahn Byungkon Kang Kyung-ah Sohn SupR 15 1,097 0 23 Mar 2018
End-to-end learning for music audio tagging at scale Jordi Pons Oriol Nieto Matthew Prockup Erik M. Schmidt Andreas F. Ehmann Xavier Serra 27 176 0 07 Nov 2017