ResearchTrend.AI
  • Papers
  • Communities
  • Events
  • Blog
  • Pricing
Papers
Communities
Social Events
Terms and Conditions
Pricing
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2025 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 2311.08829
  4. Cited By
Autoencoder with Group-based Decoder and Multi-task Optimization for
  Anomalous Sound Detection

Autoencoder with Group-based Decoder and Multi-task Optimization for Anomalous Sound Detection

15 November 2023
Yifan Zhou
Dongxing Xu
Haoran Wei
Yanhua Long
ArXiv (abs)PDFHTML

Papers citing "Autoencoder with Group-based Decoder and Multi-task Optimization for Anomalous Sound Detection"

12 / 12 papers shown
Title
Is Out-of-Distribution Detection Learnable?
Is Out-of-Distribution Detection Learnable?
Zhen Fang
Yixuan Li
Jie Lu
Jiahua Dong
Bo Han
Feng Liu
OODD
118
130
0
26 Oct 2022
A Unified Model for Multi-class Anomaly Detection
A Unified Model for Multi-class Anomaly Detection
Zhiyuan You
Lei Cui
Yujun Shen
Kai Yang
Xin Lu
Yu Zheng
Xinyi Le
70
225
0
08 Jun 2022
Masked Autoencoders Are Scalable Vision Learners
Masked Autoencoders Are Scalable Vision Learners
Kaiming He
Xinlei Chen
Saining Xie
Yanghao Li
Piotr Dollár
Ross B. Girshick
ViTTPM
473
7,819
0
11 Nov 2021
Description and Discussion on DCASE 2021 Challenge Task 2: Unsupervised
  Anomalous Sound Detection for Machine Condition Monitoring under Domain
  Shifted Conditions
Description and Discussion on DCASE 2021 Challenge Task 2: Unsupervised Anomalous Sound Detection for Machine Condition Monitoring under Domain Shifted Conditions
Yohei Kawaguchi
Keisuke Imoto
Yuma Koizumi
Noboru Harada
Daisuke Niizumi
Kota Dohi
Ryo Tanabe
Harsh Purohit
Takashi Endo
63
97
0
08 Jun 2021
MIMII DUE: Sound Dataset for Malfunctioning Industrial Machine
  Investigation and Inspection with Domain Shifts due to Changes in Operational
  and Environmental Conditions
MIMII DUE: Sound Dataset for Malfunctioning Industrial Machine Investigation and Inspection with Domain Shifts due to Changes in Operational and Environmental Conditions
Ryo Tanabe
Harsh Purohit
Kota Dohi
Takashi Endo
Yuki Nikaido
Toshiki Nakamura
Yohei Kawaguchi
127
59
0
06 May 2021
A Background-Agnostic Framework with Adversarial Training for Abnormal
  Event Detection in Video
A Background-Agnostic Framework with Adversarial Training for Abnormal Event Detection in Video
Mariana-Iuliana Georgescu
Radu Tudor Ionescu
Fahad Shahbaz Khan
Marius Popescu
M. Shah
97
160
0
27 Aug 2020
Rethinking Assumptions in Deep Anomaly Detection
Rethinking Assumptions in Deep Anomaly Detection
Lukas Ruff
Robert A. Vandermeulen
Billy Joe Franks
Klaus-Robert Muller
Marius Kloft
81
90
0
30 May 2020
Anomalous sound detection based on interpolation deep neural network
Anomalous sound detection based on interpolation deep neural network
Kaori Suefusa
Tomoya Nishida
Harsh Purohit
Ryo Tanabe
Takashi Endo
Yohei Kawaguchi
52
125
0
19 May 2020
A Simple Framework for Contrastive Learning of Visual Representations
A Simple Framework for Contrastive Learning of Visual Representations
Ting-Li Chen
Simon Kornblith
Mohammad Norouzi
Geoffrey E. Hinton
SSL
378
18,866
0
13 Feb 2020
Deep Anomaly Detection with Outlier Exposure
Deep Anomaly Detection with Outlier Exposure
Dan Hendrycks
Mantas Mazeika
Thomas G. Dietterich
OODD
183
1,487
0
11 Dec 2018
MobileNetV2: Inverted Residuals and Linear Bottlenecks
MobileNetV2: Inverted Residuals and Linear Bottlenecks
Mark Sandler
Andrew G. Howard
Menglong Zhu
A. Zhmoginov
Liang-Chieh Chen
204
19,333
0
13 Jan 2018
Auto-Encoding Variational Bayes
Auto-Encoding Variational Bayes
Diederik P. Kingma
Max Welling
BDL
455
16,923
0
20 Dec 2013
1