Test Time Training for Industrial Anomaly Segmentation

4 April 2024

Alex Costanzino

Pierluigi Zama Ramirez

Papers citing "Test Time Training for Industrial Anomaly Segmentation"

25 / 25 papers shown

Title
Single Image Test-Time Adaptation for Segmentation Klara Janouskova T. Shor Chaim Baskin Jirí Matas TTA OOD 75 3 0 25 Sep 2023
Deep Industrial Image Anomaly Detection: A Survey Jiaqi Liu Guoyang Xie Jingbao Wang Shangwen Li Chengjie Wang Feng Zheng Yaochu Jin 70 183 0 27 Jan 2023
Masked Autoencoders for Point Cloud Self-supervised Learning Yatian Pang Wenxiao Wang Francis E. H. Tay Wen Liu Yonghong Tian Liuliang Yuan 3DPC ViT 79 469 0 13 Mar 2022
Back to the Feature: Classical 3D Features are (Almost) All You Need for 3D Anomaly Detection Eliahu Horwitz Yedid Hoshen 86 54 0 10 Mar 2022
Self-Supervised Predictive Convolutional Attentive Block for Anomaly Detection Nicolae-Cătălin Ristea Neelu Madan Radu Tudor Ionescu Kamal Nasrollahi Fahad Shahbaz Khan T. Moeslund M. Shah 69 193 0 17 Nov 2021
FastFlow: Unsupervised Anomaly Detection and Localization via 2D Normalizing Flows Jiawei Yu1 Ye Zheng Xiang Wang Wei Li Yushuang Wu Rui Zhao Liwei Wu 59 310 0 15 Nov 2021
Masked Autoencoders Are Scalable Vision Learners Kaiming He Xinlei Chen Saining Xie Yanghao Li Piotr Dollár Ross B. Girshick ViT TPM 439 7,731 0 11 Nov 2021
CFLOW-AD: Real-Time Unsupervised Anomaly Detection with Localization via Conditional Normalizing Flows Denis A. Gudovskiy Shun Ishizaka Kazuki Kozuka 98 401 0 27 Jul 2021
Towards Total Recall in Industrial Anomaly Detection Karsten Roth Latha Pemula J. Zepeda Bernhard Schölkopf Thomas Brox Peter V. Gehler UQCV 80 907 0 15 Jun 2021
Emerging Properties in Self-Supervised Vision Transformers Mathilde Caron Hugo Touvron Ishan Misra Hervé Jégou Julien Mairal Piotr Bojanowski Armand Joulin 650 6,059 0 29 Apr 2021
Inpainting Transformer for Anomaly Detection Jonathan Pirnay K. Chai ViT 149 167 0 28 Apr 2021
Student-Teacher Feature Pyramid Matching for Anomaly Detection Guodong Wang Shumin Han Errui Ding Di Huang 65 219 0 07 Mar 2021
DFR: Deep Feature Reconstruction for Unsupervised Anomaly Segmentation Jie Yang Yong Shi Zhiquan Qi UQCV 117 118 0 13 Dec 2020
MOCCA: Multi-Layer One-Class ClassificAtion for Anomaly Detection F. V. Massoli Fabrizio Falchi Alperen Kantarci cSeymanur Akti H. K. Ekenel Giuseppe Amato 53 60 0 09 Dec 2020
PaDiM: a Patch Distribution Modeling Framework for Anomaly Detection and Localization Thomas Defard Aleksandr Setkov Angélique Loesch Romaric Audigier UQCV 75 837 0 17 Nov 2020
Point Transformer Nico Engel Vasileios Belagiannis Klaus C. J. Dietmayer 3DPC 163 1,989 0 02 Nov 2020
PANDA: Adapting Pretrained Features for Anomaly Detection and Segmentation Tal Reiss Niv Cohen Liron Bergman Yedid Hoshen 61 251 0 12 Oct 2020
Patch SVDD: Patch-level SVDD for Anomaly Detection and Segmentation Jihun Yi Sungroh Yoon 137 385 0 29 Jun 2020
Evaluating Prediction-Time Batch Normalization for Robustness under Covariate Shift Zachary Nado Shreyas Padhy D. Sculley Alexander DÁmour Balaji Lakshminarayanan Jasper Snoek OOD AI4TS 85 247 0 19 Jun 2020
Modeling the Distribution of Normal Data in Pre-Trained Deep Features for Anomaly Detection Oliver Rippel Patrick Mertens Dorit Merhof 117 239 0 28 May 2020
Do We Really Need to Access the Source Data? Source Hypothesis Transfer for Unsupervised Domain Adaptation Jian Liang Dapeng Hu Jiashi Feng 95 1,241 0 20 Feb 2020
Uninformed Students: Student-Teacher Anomaly Detection with Discriminative Latent Embeddings Paul Bergmann Michael Fauser David Sattlegger C. Steger 72 662 0 06 Nov 2019
Deep Visual Domain Adaptation: A Survey Mei Wang Weihong Deng OOD 68 2,010 0 10 Feb 2018
Wide Residual Networks Sergey Zagoruyko N. Komodakis 330 7,980 0 23 May 2016
ShapeNet: An Information-Rich 3D Model Repository Angel X. Chang Thomas Funkhouser Leonidas Guibas Pat Hanrahan Qi-Xing Huang ... Shuran Song Hao Su Jianxiong Xiao L. Yi Feng Yu 3DV 155 5,522 0 09 Dec 2015