Código QR (código de barras bidimensional)

Disentangled Prototypical Convolutional Network for Few-Shot Learning in In-Vehicle Noise Classification

This study addresses the persistent challenge of in-vehicle noise, a significant factor affecting customer satisfaction and safety in the automotive industry. Despite advancements in understanding various noise sources and mitigation strategies, vehicle noise continues to contribute to driver and pa...

Fuld beskrivelse

Na minha lista:
Principais autores: Robin Inho Kee, Dahyun Nam, Seok-Jun Buu, Sung-Bae Cho
Format: Artigo
Sprog:Inglês
Udgivet: IEEE 2024-01-01
Serier:IEEE Access
Fag:
Acoustic classification
representation learning
few-shot learning (FSL)
in-vehicle noise
prototypical network
triplet loss
Online adgang:https://ieeexplore.ieee.org/document/10521661/
Tags: Tilføj Tag
Ingen Tags, Vær først til at tagge denne postø!

Lignende værker