A Mutual Learning Framework for Few-Shot Sound Event Detection
Author:
Affiliation:
1. Peking University,ADSPLAB, School of ECE,Shenzhen,China
2. University of Surrey,Center for Vision, Speech and Signal Processing,UK
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/9745891/9746004/09746042.pdf?arnumber=9746042
Reference22 articles.
1. Two improved architectures based on prototype network for few-shot bioacoustic event detection;tang;Dcase2016 challenge,2021
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1. Reshaping Bioacoustics Event Detection: Leveraging Few-Shot Learning (FSL) with Transductive Inference and Data Augmentation;Bioengineering;2024-07-05
2. Joint Analysis of Acoustic Scenes and Sound Events in Multitask Learning Based on Cross_MMoE Model and Class-Balanced Loss;IEEE Sensors Journal;2024-06-01
3. Few-Shot Class-Incremental Audio Classification Using Dynamically Expanded Classifier With Self-Attention Modified Prototypes;IEEE Transactions on Multimedia;2024
4. An Ensemble Deep-Learning System for Few-Shot Bioacoustic Event Detection;2023 7th Asian Conference on Artificial Intelligence Technology (ACAIT);2023-11-10
5. Few-shot class-incremental audio classification via discriminative prototype learning;Expert Systems with Applications;2023-09
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