Few-Shot Class-Incremental Audio Classification Using Dynamically Expanded Classifier With Self-Attention Modified Prototypes
Author:
Affiliation:
1. School of Electronic and Information Engineering, South China University of Technology, Guangzhou, China
2. School of Electronic Engineering and Computer Science, Queen Mary University of London, London, U.K.
Funder
National Natural Science Foundation of China
International Scientific Research Collaboration Project of Guangdong
Basic and Applied Basic Research Foundation of Guangdong Province
Royal Society International Exchanges
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Subject
Electrical and Electronic Engineering,Computer Science Applications,Media Technology,Signal Processing
Link
http://xplorestaging.ieee.org/ielx7/6046/10384483/10135116.pdf?arnumber=10135116
Reference61 articles.
1. Audio Set: An ontology and human-labeled dataset for audio events
2. Acoustic event diarization in TV/movie audios using deep embedding and integer linear programming
3. Clotho: an Audio Captioning Dataset
4. Anomalous Sound Detection Using Deep Audio Representation and a BLSTM Network for Audio Surveillance of Roads
5. Bioacoustics Data Analysis – A Taxonomy, Survey and Open Challenges
Cited by 2 articles. 订阅此论文施引文献 订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献
1. Few-Shot Class-Incremental Audio Classification With Adaptive Mitigation of Forgetting and Overfitting;IEEE/ACM Transactions on Audio, Speech, and Language Processing;2024
2. Gradient-Semantic Compensation for Incremental Semantic Segmentation;IEEE Transactions on Multimedia;2023
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