ResearchTrend.AI
ALGAN: Anomaly Detection by Generating Pseudo Anomalous Data via Latent Variables
v1v2 (latest)

ALGAN: Anomaly Detection by Generating Pseudo Anomalous Data via Latent Variables

IEEE Access (IEEE Access), 2022
Hironori Murase
Kenji Fukumizu
ArXiv (abs)PDFHTML

Papers citing "ALGAN: Anomaly Detection by Generating Pseudo Anomalous Data via Latent Variables"

5 / 5 papers shown
Title
Uncertainty-aware Evaluation of Auxiliary Anomalies with the Expected Anomaly Posterior
Uncertainty-aware Evaluation of Auxiliary Anomalies with the Expected Anomaly Posterior
Lorenzo Perini
Maja R. Rudolph
Sabrina Schmedding
Chen Qiu
290
4
0
22 May 2024
PseudoBound: Limiting the anomaly reconstruction capability of one-class classifiers using pseudo anomalies
PseudoBound: Limiting the anomaly reconstruction capability of one-class classifiers using pseudo anomaliesNeurocomputing (Neurocomputing), 2023
Marcella Astrid
M. Zaheer
Seung-Ik Lee
185
25
0
19 Mar 2023
Dissolving Is Amplifying: Towards Fine-Grained Anomaly Detection
Dissolving Is Amplifying: Towards Fine-Grained Anomaly DetectionEuropean Conference on Computer Vision (ECCV), 2023
Jian Shi
Pengyi Zhang
Ni Zhang
Hakim Ghazzai
Y. Massoud
MedIm
358
7
0
28 Feb 2023
Fake It Till You Make It: Towards Accurate Near-Distribution Novelty Detection
Fake It Till You Make It: Towards Accurate Near-Distribution Novelty Detection
Hossein Mirzaei
Mohammadreza Salehi
Sajjad Shahabi
E. Gavves
Cees G. M. Snoek
Mohammad Sabokrou
M. Rohban
OOD
192
6
0
28 May 2022
Billion-scale similarity search with GPUs
Billion-scale similarity search with GPUsIEEE Transactions on Big Data (TBD), 2017
Jeff Johnson
Matthijs Douze
Edouard Grave
929
4,435
0
28 Feb 2017