Adaptive Deviation Learning for Visual Anomaly Detection with Data Contamination

14 November 2024

Papers citing "Adaptive Deviation Learning for Visual Anomaly Detection with Data Contamination"

20 / 20 papers shown

Title
DeSTSeg: Segmentation Guided Denoising Student-Teacher for Anomaly Detection Xuan Zhang Shiyu Li Xi Li Ping Huang Jiulong Shan Ting Chen 65 136 0 21 Nov 2022
SPot-the-Difference Self-Supervised Pre-training for Anomaly Detection and Segmentation Yang Zou Jongheon Jeong Latha Pemula Dongqing Zhang Onkar Dabeer 95 310 0 28 Jul 2022
Constrained Instance and Class Reweighting for Robust Learning under Label Noise Abhishek Kumar Ehsan Amid NoLa 57 20 0 09 Nov 2021
Explainable Deep Few-shot Anomaly Detection with Deviation Networks Guansong Pang Choubo Ding Chunhua Shen Anton Van Den Hengel 96 88 0 01 Aug 2021
Towards Total Recall in Industrial Anomaly Detection Karsten Roth Latha Pemula J. Zepeda Bernhard Schölkopf Thomas Brox Peter V. Gehler UQCV 88 919 0 15 Jun 2021
Inpainting Transformer for Anomaly Detection Jonathan Pirnay K. Chai ViT 178 168 0 28 Apr 2021
PaDiM: a Patch Distribution Modeling Framework for Anomaly Detection and Localization Thomas Defard Aleksandr Setkov Angélique Loesch Romaric Audigier UQCV 79 848 0 17 Nov 2020
Patch SVDD: Patch-level SVDD for Anomaly Detection and Segmentation Jihun Yi Sungroh Yoon 153 385 0 29 Jun 2020
Normalized Loss Functions for Deep Learning with Noisy Labels Xingjun Ma Hanxun Huang Yisen Wang Simone Romano S. Erfani James Bailey NoLa 76 445 0 24 Jun 2020
Modeling the Distribution of Normal Data in Pre-Trained Deep Features for Anomaly Detection Oliver Rippel Patrick Mertens Dorit Merhof 133 240 0 28 May 2020
CutMix: Regularization Strategy to Train Strong Classifiers with Localizable Features Sangdoo Yun Dongyoon Han Seong Joon Oh Sanghyuk Chun Junsuk Choe Y. Yoo OOD 624 4,809 0 13 May 2019
Unsupervised Label Noise Modeling and Loss Correction Eric Arazo Sanchez Diego Ortego Paul Albert Noel E. O'Connor Kevin McGuinness NoLa 94 616 0 25 Apr 2019
OCGAN: One-class Novelty Detection Using GANs with Constrained Latent Representations Pramuditha Perera Ramesh Nallapati Bing Xiang 121 526 0 20 Mar 2019
Skip-GANomaly: Skip Connected and Adversarially Trained Encoder-Decoder Anomaly Detection S. Akçay Amir Atapour-Abarghouei T. Breckon UQCV 100 381 0 25 Jan 2019
Deep Anomaly Detection with Outlier Exposure Dan Hendrycks Mantas Mazeika Thomas G. Dietterich OODD 183 1,487 0 11 Dec 2018
q-Space Novelty Detection with Variational Autoencoders A. Vasilev Vladimir Golkov Marc Meissner I. Lipp Eleonora Sgarlata V. Tomassini Derek K. Jones Daniel Cremers DRL 55 59 0 08 Jun 2018
Unsupervised Representation Learning by Predicting Image Rotations Spyros Gidaris Praveer Singh N. Komodakis OOD SSL DRL 264 3,300 0 21 Mar 2018
Improved Regularization of Convolutional Neural Networks with Cutout Terrance Devries Graham W. Taylor 135 3,775 0 15 Aug 2017
Rethinking the Inception Architecture for Computer Vision Christian Szegedy Vincent Vanhoucke Sergey Ioffe Jonathon Shlens Z. Wojna 3DV BDL 886 27,427 0 02 Dec 2015
Describing Textures in the Wild Mircea Cimpoi Subhransu Maji Iasonas Kokkinos S. Mohamed Andrea Vedaldi 3DV 146 2,693 0 14 Nov 2013