ResearchTrend.AI
Robust Anomaly Detection in Images using Adversarial Autoencoders

Robust Anomaly Detection in Images using Adversarial Autoencoders

Laura Beggel
Michael Pfeiffer
B. Bischl
    UQCV
ArXivPDFHTML

Papers citing "Robust Anomaly Detection in Images using Adversarial Autoencoders"

15 / 15 papers shown
Title
ScarceGAN: Discriminative Classification Framework for Rare Class Identification for Longitudinal Data with Weak Prior
ScarceGAN: Discriminative Classification Framework for Rare Class Identification for Longitudinal Data with Weak Prior
Surajit Chakrabarty
Rukma Talwadker
Tridib Mukherjee
GAN
60
3
0
02 May 2025
Self-Supervised Iterative Refinement for Anomaly Detection in Industrial Quality Control
Self-Supervised Iterative Refinement for Anomaly Detection in Industrial Quality Control
Muhammad Aqeel
Shakiba Sharifi
Marco Cristani
Francesco Setti
41
1
0
21 Aug 2024
Unsupervised Deep One-Class Classification with Adaptive Threshold based on Training Dynamics
Unsupervised Deep One-Class Classification with Adaptive Threshold based on Training Dynamics
Minkyung Kim
Junsik Kim
Jongmin Yu
Jun Kyun Choi
19
2
0
13 Feb 2023
Representing Camera Response Function by a Single Latent Variable and Fully Connected Neural Network
Representing Camera Response Function by a Single Latent Variable and Fully Connected Neural Network
Yunfeng Zhao
S. Ferguson
Huiyu Zhou
K. Rafferty
21
3
0
08 Sep 2022
Attack-Agnostic Adversarial Detection
Attack-Agnostic Adversarial Detection
Jiaxin Cheng
Mohamed Hussein
J. Billa
Wael AbdAlmageed
AAML
28
0
0
01 Jun 2022
Machine Learning in NextG Networks via Generative Adversarial Networks
Machine Learning in NextG Networks via Generative Adversarial Networks
E. Ayanoglu
Kemal Davaslioglu
Y. Sagduyu
GAN
24
34
0
09 Mar 2022
Reducing Redundancy in the Bottleneck Representation of the Autoencoders
Reducing Redundancy in the Bottleneck Representation of the Autoencoders
Firas Laakom
Jenni Raitoharju
Alexandros Iosifidis
Moncef Gabbouj
33
10
0
09 Feb 2022
StRegA: Unsupervised Anomaly Detection in Brain MRIs using a Compact Context-encoding Variational Autoencoder
StRegA: Unsupervised Anomaly Detection in Brain MRIs using a Compact Context-encoding Variational Autoencoder
S. Chatterjee
Alessandro Sciarra
M. Dünnwald
Pavan Tummala
Shubham Agrawal
Aishwarya Jauhari
Aman Kalra
S. Oeltze-Jafra
Oliver Speck
A. Nürnberger
DRL
36
16
0
31 Jan 2022
The Unreasonable Effectiveness of the Final Batch Normalization Layer
The Unreasonable Effectiveness of the Final Batch Normalization Layer
Veysel Kocaman
O. M. Shir
T. Baeck
18
1
0
18 Sep 2021
Assessing the Quality of the Datasets by Identifying Mislabeled Samples
Assessing the Quality of the Datasets by Identifying Mislabeled Samples
Vaibhav Pulastya
Gaurav Nuti
Yash Kumar Atri
Tanmoy Chakraborty
NoLa
35
5
0
10 Sep 2021
Efficient Out-of-Distribution Detection Using Latent Space of $β$-VAE for Cyber-Physical Systems
Efficient Out-of-Distribution Detection Using Latent Space of ββ-VAE for Cyber-Physical Systems
Shreyas Ramakrishna
Zahra Rahiminasab
G. Karsai
Arvind Easwaran
Abhishek Dubey
OODD
21
28
0
26 Aug 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
17
156
0
27 Aug 2020
Simple and Effective Prevention of Mode Collapse in Deep One-Class Classification
Simple and Effective Prevention of Mode Collapse in Deep One-Class Classification
Penny Chong
Lukas Ruff
Marius Kloft
Alexander Binder
29
35
0
24 Jan 2020
Spatio-Temporal Adversarial Learning for Detecting Unseen Falls
Spatio-Temporal Adversarial Learning for Detecting Unseen Falls
Shehroz S. Khan
Jacob Nogas
Alex Mihailidis
22
22
0
19 May 2019
Fence GAN: Towards Better Anomaly Detection
Fence GAN: Towards Better Anomaly Detection
Cuong Phuc Ngo
Amadeus Aristo Winarto
C. Kou
Sojeong Park
Farhan Akram
H. Lee
13
93
0
02 Apr 2019