Multiresolution Knowledge Distillation for Anomaly Detection

22 November 2020

Papers citing "Multiresolution Knowledge Distillation for Anomaly Detection"

50 / 50 papers shown

Title
Center-aware Residual Anomaly Synthesis for Multi-class Industrial Anomaly Detection Qiyu Chen Huiyuan Luo Haiming Yao Wei Luo Zhen Qu Chengkan Lv Zhengtao Zhang 118 1 0 23 May 2025
Learning to Detect Multi-class Anomalies with Just One Normal Image Prompt Bin-Bin Gao 71 5 0 14 May 2025
MetaUAS: Universal Anomaly Segmentation with One-Prompt Meta-Learning Bin-Bin Gao VLM 110 0 0 14 May 2025
AFiRe: Anatomy-Driven Self-Supervised Learning for Fine-Grained Representation in Radiographic Images Yihang Liu Lianghua He Y. Wen Longzhen Yang Hongzhou Chen MedIm 96 0 0 15 Apr 2025
SAM-LAD: Segment Anything Model Meets Zero-Shot Logic Anomaly Detection Yun Peng Xiao Lin Nachuan Ma Jiayuan Du Chuangwei Liu Chengju Liu Qi Chen 116 3 0 17 Feb 2025
SoftPatch+: Fully Unsupervised Anomaly Classification and Segmentation Chengjie Wang Xi Jiang Bin-Bin Gao Zhenye Gan Yang Liu Feng Zheng Lizhuang Ma UQCV 99 2 0 30 Dec 2024
View-Invariant Pixelwise Anomaly Detection in Multi-object Scenes with Adaptive View Synthesis Subin Varghese Vedhus Hoskere 78 0 0 26 Jun 2024
Dinomaly: The Less Is More Philosophy in Multi-Class Unsupervised Anomaly Detection Jia Guo Shuai Lu Weihang Zhang Huiqi Li Huiqi Li Hongen Liao ViT 99 10 0 23 May 2024
MAPL: Memory Augmentation and Pseudo-Labeling for Semi-Supervised Anomaly Detection Junzhuo Chen Shitong Kang 59 0 0 10 May 2024
Do LLMs Understand Visual Anomalies? Uncovering LLM's Capabilities in Zero-shot Anomaly Detection Jiaqi Zhu Shaofeng Cai Fang Deng Junran Wu Junran Wu 85 15 0 15 Apr 2024
Set Features for Anomaly Detection Niv Cohen Issar Tzachor Yedid Hoshen 109 0 0 24 Nov 2023
DiffusionAD: Norm-guided One-step Denoising Diffusion for Anomaly Detection Hui Zhang Zheng Wang Dan Zeng Zuxuan Wu Yu-Gang Jiang DiffM 97 25 0 15 Mar 2023
Puzzle-AE: Novelty Detection in Images through Solving Puzzles Mohammadreza Salehi Ainaz Eftekhar Niousha Sadjadi M. Rohban Hamid R. Rabiee AAML 95 43 0 29 Aug 2020
Encoding Structure-Texture Relation with P-Net for Anomaly Detection in Retinal Images Kang Zhou Yuting Xiao Jianlong Yang Jun Cheng Wen Liu Weixin Luo Zaiwang Gu Jiang-Dong Liu Shenghua Gao MedIm 62 117 0 09 Aug 2020
Classification-Based Anomaly Detection for General Data Liron Bergman Yedid Hoshen 42 348 0 05 May 2020
ARAE: Adversarially Robust Training of Autoencoders Improves Novelty Detection Mohammadreza Salehi Atrin Arya Barbod Pajoum Mohammad Otoofi Amirreza Shaeiri M. Rohban Hamid R. Rabiee AAML 43 62 0 12 Mar 2020
DROCC: Deep Robust One-Class Classification Sachin Goyal Aditi Raghunathan Moksh Jain H. Simhadri Prateek Jain VLM 55 163 0 28 Feb 2020
Iterative energy-based projection on a normal data manifold for anomaly localization David Dehaene Oriel Frigo Sébastien Combrexelle P. Eline 29 145 0 10 Feb 2020
A Case for the Score: Identifying Image Anomalies using Variational Autoencoder Gradients David Zimmerer Jens Petersen Simon A. A. Kohl Klaus H. Maier-Hein DRL 41 22 0 28 Nov 2019
Uninformed Students: Student-Teacher Anomaly Detection with Discriminative Latent Embeddings Paul Bergmann Michael Fauser David Sattlegger C. Steger 58 660 0 06 Nov 2019
Exploring Deep Anomaly Detection Methods Based on Capsule Net Xiaoyan Li I. Kiringa T. Yeap Xiao-Dan Zhu Yifeng Li UQCV 3DPC 61 20 0 15 Jul 2019
Deep Semi-Supervised Anomaly Detection Lukas Ruff Robert A. Vandermeulen Nico Görnitz Alexander Binder Emmanuel Müller K. Müller Marius Kloft UQCV 37 543 0 06 Jun 2019
OCGAN: One-class Novelty Detection Using GANs with Constrained Latent Representations Pramuditha Perera Ramesh Nallapati Bing Xiang 106 523 0 20 Mar 2019
OCTID: Optical Coherence Tomography Image Database Peyman Gholami Priyanka Roy M. K. Parthasarathy Vasudevan Lakshminarayanan 48 118 0 17 Dec 2018
Are pre-trained CNNs good feature extractors for anomaly detection in surveillance videos? T. S. Nazaré R. Mello M. Ponti 37 45 0 20 Nov 2018
Sanity Checks for Saliency Maps Julius Adebayo Justin Gilmer M. Muelly Ian Goodfellow Moritz Hardt Been Kim FAtt AAML XAI 109 1,947 0 08 Oct 2018
A Survey on Deep Transfer Learning Chuanqi Tan F. Sun Tao Kong Wenchang Zhang Chao Yang Chunfang Liu 57 2,575 0 06 Aug 2018
Improving Unsupervised Defect Segmentation by Applying Structural Similarity to Autoencoders Paul Bergmann Sindy Löwe Michael Fauser David Sattlegger C. Steger 48 661 0 05 Jul 2018
Latent Space Autoregression for Novelty Detection Davide Abati Angelo Porrello Simone Calderara Rita Cucchiara 98 432 0 04 Jul 2018
Deep Anomaly Detection Using Geometric Transformations I. Golan Ran El-Yaniv 64 603 0 28 May 2018
AVID: Adversarial Visual Irregularity Detection Mohammad Sabokrou M. PourReza Mohsen Fayyaz R. Entezari M. Fathy Jürgen Gall Ehsan Adeli GAN 33 90 0 24 May 2018
A Theoretical Explanation for Perplexing Behaviors of Backpropagation-based Visualizations Weili Nie Yang Zhang Ankit B. Patel FAtt 118 151 0 18 May 2018
GANomaly: Semi-Supervised Anomaly Detection via Adversarial Training S. Akçay Amir Atapour-Abarghouei T. Breckon GAN 57 1,377 0 17 May 2018
Deep Autoencoding Models for Unsupervised Anomaly Segmentation in Brain MR Images Christoph Baur Benedikt Wiestler Shadi Albarqouni Nassir Navab UQCV MedIm 35 443 0 12 Apr 2018
Adversarially Learned One-Class Classifier for Novelty Detection Mohammad Sabokrou Mohammad Khalooei M. Fathy Ehsan Adeli AAML 93 690 0 25 Feb 2018
The Unreasonable Effectiveness of Deep Features as a Perceptual Metric Richard Y. Zhang Phillip Isola Alexei A. Efros Eli Shechtman Oliver Wang EGVM 297 11,610 0 11 Jan 2018
Thoracic Disease Identification and Localization with Limited Supervision Zhe Li Chong Wang Mei Han Yuan Xue Wei Wei Li Li F. Li 52 329 0 17 Nov 2017
Fashion-MNIST: a Novel Image Dataset for Benchmarking Machine Learning Algorithms Han Xiao Kashif Rasul Roland Vollgraf 170 8,807 0 25 Aug 2017
SmoothGrad: removing noise by adding noise D. Smilkov Nikhil Thorat Been Kim F. Viégas Martin Wattenberg FAtt ODL 181 2,215 0 12 Jun 2017
Unpaired Image-to-Image Translation using Cycle-Consistent Adversarial Networks Jun-Yan Zhu Taesung Park Phillip Isola Alexei A. Efros GAN 98 5,556 0 30 Mar 2017
Unsupervised Anomaly Detection with Generative Adversarial Networks to Guide Marker Discovery T. Schlegl Philipp Seeböck S. Waldstein U. Schmidt-Erfurth Georg Langs MedIm GAN 63 2,219 0 17 Mar 2017
Image-to-Image Translation with Conditional Adversarial Networks Phillip Isola Jun-Yan Zhu Tinghui Zhou Alexei A. Efros SSeg 289 19,560 0 21 Nov 2016
Deep-Anomaly: Fully Convolutional Neural Network for Fast Anomaly Detection in Crowded Scenes Mohammad Sabokrou Mohsen Fayyaz Mahmood Fathy Zahra Moayed Reinhard Klette 64 430 0 03 Sep 2016
Deep Structured Energy Based Models for Anomaly Detection Shuangfei Zhai Yu Cheng Weining Lu Zhongfei Zhang 53 426 0 25 May 2016
Loss Functions for Neural Networks for Image Processing Hang Zhao Orazio Gallo I. Frosio Jan Kautz SupR 54 278 0 28 Nov 2015
Adam: A Method for Stochastic Optimization Diederik P. Kingma Jimmy Ba ODL 842 149,474 0 22 Dec 2014
Striving for Simplicity: The All Convolutional Net Jost Tobias Springenberg Alexey Dosovitskiy Thomas Brox Martin Riedmiller FAtt 181 4,653 0 21 Dec 2014
FitNets: Hints for Thin Deep Nets Adriana Romero Nicolas Ballas Samira Ebrahimi Kahou Antoine Chassang C. Gatta Yoshua Bengio FedML 236 3,862 0 19 Dec 2014
Very Deep Convolutional Networks for Large-Scale Image Recognition Karen Simonyan Andrew Zisserman FAtt MDE 943 99,991 0 04 Sep 2014
Deep Inside Convolutional Networks: Visualising Image Classification Models and Saliency Maps Karen Simonyan Andrea Vedaldi Andrew Zisserman FAtt 194 7,252 0 20 Dec 2013