Towards Visually Explaining Variational Autoencoders

18 November 2019

Ziyan Wu

Papers citing "Towards Visually Explaining Variational Autoencoders"

50 / 104 papers shown

Title
Two-stream Decoder Feature Normality Estimating Network for Industrial Anomaly Detection Chaewon Park Minhyeok Lee Suhwan Cho Donghyeon Kim Sangyoun Lee 17 4 0 20 Feb 2023
Explainable Anomaly Detection in Images and Videos: A Survey Yizhou Wang Dongliang Guo Sheng R. Li Octavia Camps Yun Fu 18 5 0 13 Feb 2023
IM-IAD: Industrial Image Anomaly Detection Benchmark in Manufacturing Guoyang Xie Jinbao Wang Jiaqi Liu Jiayi Lyu Y. Liu Chengjie Wang Feng Zheng Yaochu Jin VLM 25 65 0 31 Jan 2023
Deep Industrial Image Anomaly Detection: A Survey Jiaqi Liu Guoyang Xie Jingbao Wang Shangwen Li Chengjie Wang Feng Zheng Yaochu Jin 22 172 0 27 Jan 2023
Continual Learning Approaches for Anomaly Detection Davide Dalle Pezze Eugenia Anello Chiara Masiero Gian Antonio Susto 13 5 0 21 Dec 2022
Multi-scale Feature Imitation for Unsupervised Anomaly Localization Chao Hu Shengxin Lai 9 0 0 12 Dec 2022
Prototypical Residual Networks for Anomaly Detection and Localization H. Zhang Zuxuan Wu Z. Wang Zhineng Chen Yuwei Jiang UQCV AI4TS 35 62 0 05 Dec 2022
FAPM: Fast Adaptive Patch Memory for Real-time Industrial Anomaly Detection Donghyeon Kim Chaewon Park Suhwan Cho Sangyoun Lee 17 32 0 14 Nov 2022
Knowledge Distillation for Federated Learning: a Practical Guide Alessio Mora Irene Tenison Paolo Bellavista Irina Rish FedML 22 17 0 09 Nov 2022
Graph Contrastive Learning with Implicit Augmentations Huidong Liang Xingjian Du Bilei Zhu Zejun Ma Ke Chen Junbin Gao 11 29 0 07 Nov 2022
N-pad : Neighboring Pixel-based Industrial Anomaly Detection Junkyu Jang Eugene Hwang Sung-Hyuk Park 15 20 0 17 Oct 2022
Learning Sparse Latent Representations for Generator Model Hanao Li Tian Han 10 1 0 20 Sep 2022
ADTR: Anomaly Detection Transformer with Feature Reconstruction Zhiyuan You Kai Yang Wenhan Luo Lei Cui Yu Zheng Xinyi Le ViT 21 42 0 05 Sep 2022
Curved Geometric Networks for Visual Anomaly Recognition Jie Hong Pengfei Fang Weihao Li Junlin Han L. Petersson Mehrtash Harandi 31 6 0 02 Aug 2022
Deep Learning for Unsupervised Anomaly Localization in Industrial Images: A Survey Xian Tao Xinyi Gong X. Zhang Shaohua Yan Chandranath Adak UQCV 15 137 0 21 Jul 2022
Self-Supervised Training with Autoencoders for Visual Anomaly Detection Alexander Bauer Shinichi Nakajima Klaus-Robert Müller 13 9 0 23 Jun 2022
A Unified Model for Multi-class Anomaly Detection Zhiyuan You Lei Cui Yujun Shen Kai Yang Xin Lu Yu Zheng Xinyi Le 14 208 0 08 Jun 2022
[Reproducibility Report] Explainable Deep One-Class Classification João P C Bertoldo Etienne Decencière 23 0 0 06 Jun 2022
How do Variational Autoencoders Learn? Insights from Representational Similarity Lisa Bonheme M. Grzes CoGe SSL DRL 24 10 0 17 May 2022
Discriminative Feature Learning Framework with Gradient Preference for Anomaly Detection Muhao Xu Xueying Zhou Xizhan Gao Wei-Xiong He Sijie Niu 8 7 0 23 Apr 2022
Attri-VAE: attribute-based interpretable representations of medical images with variational autoencoders Irem Cetin Maialen Stephens Oscar Camara M. A. G. Ballester DRL 32 39 0 20 Mar 2022
Explaining Classifiers by Constructing Familiar Concepts Johannes Schneider M. Vlachos 27 15 0 07 Mar 2022
Constrained unsupervised anomaly segmentation Julio Silva-Rodríguez Valery Naranjo Jose Dolz 11 23 0 03 Mar 2022
Anomaly Detection in 3D Point Clouds using Deep Geometric Descriptors Paul Bergmann David Sattlegger 3DPC 28 57 0 23 Feb 2022
From Anecdotal Evidence to Quantitative Evaluation Methods: A Systematic Review on Evaluating Explainable AI Meike Nauta Jan Trienes Shreyasi Pathak Elisa Nguyen Michelle Peters Yasmin Schmitt Jorg Schlotterer M. V. Keulen C. Seifert ELM XAI 26 395 0 20 Jan 2022
Discrete neural representations for explainable anomaly detection Stanislaw Szymanowicz James Charles R. Cipolla AAML AI4TS FAtt 19 20 0 10 Dec 2021
Improving Novelty Detection using the Reconstructions of Nearest Neighbours Michael Mesarcik E. Ranguelova A. Boonstra Rob van Nieuwpoort 11 5 0 11 Nov 2021
PEDENet: Image Anomaly Localization via Patch Embedding and Density Estimation Kaitai Zhang Bin Wang C.-C. Jay Kuo 13 20 0 29 Oct 2021
A Unified Survey on Anomaly, Novelty, Open-Set, and Out-of-Distribution Detection: Solutions and Future Challenges Mohammadreza Salehi Hossein Mirzaei Dan Hendrycks Yixuan Li M. Rohban Mohammad Sabokrou OOD 20 190 0 26 Oct 2021
Visual Anomaly Detection for Images: A Survey Jie Yang Rui Xu Zhiquan Qi Yong Shi 15 35 0 27 Sep 2021
Looking at the whole picture: constrained unsupervised anomaly segmentation Julio Silva-Rodríguez Valery Naranjo Jose Dolz 19 5 0 01 Sep 2021
DRAEM -- A discriminatively trained reconstruction embedding for surface anomaly detection Vitjan Zavrtanik Matej Kristan D. Skočaj 11 583 0 17 Aug 2021
Transferring Knowledge with Attention Distillation for Multi-Domain Image-to-Image Translation Runze Li Tomaso Fontanini Luca Donati Andrea Prati B. Bhanu GAN 29 0 0 17 Aug 2021
Transfer Learning Gaussian Anomaly Detection by Fine-tuning Representations Oliver Rippel Arnav Chavan Chucai Lei Dorit Merhof 36 18 0 09 Aug 2021
Anomaly Detection via Self-organizing Map Ning Li Kaitao Jiang Zhiheng Ma Xing Wei Xiaopeng Hong Yihong Gong 12 33 0 21 Jul 2021
Contrastive Predictive Coding for Anomaly Detection Puck de Haan Sindy Löwe UQCV SSL 29 19 0 16 Jul 2021
Exploring the Latent Space of Autoencoders with Interventional Assays Felix Leeb Stefan Bauer M. Besserve Bernhard Schölkopf DRL 41 17 0 30 Jun 2021
Towards Total Recall in Industrial Anomaly Detection Karsten Roth Latha Pemula J. Zepeda Bernhard Schölkopf Thomas Brox Peter V. Gehler UQCV 17 867 0 15 Jun 2021
SSCAP: Self-supervised Co-occurrence Action Parsing for Unsupervised Temporal Action Segmentation Zhe Wang Hao Chen Xinyu Li Chunhui Liu Yuanjun Xiong Joseph Tighe Charless C. Fowlkes 22 20 0 29 May 2021
Can self-training identify suspicious ugly duckling lesions? Mohammadreza Mohseni J. Yap William Yolland A. Koochek S. Atkins 8 12 0 15 May 2021
Where and When: Space-Time Attention for Audio-Visual Explanations Yanbei Chen Thomas Hummel A. Sophia Koepke Zeynep Akata 6 3 0 04 May 2021
VT-ADL: A Vision Transformer Network for Image Anomaly Detection and Localization P. Mishra Riccardo Verk Daniele Fornasier C. Piciarelli G. Foresti ViT 78 286 0 20 Apr 2021
Attention Map-guided Two-stage Anomaly Detection using Hard Augmentation J. Song Kyeongbo Kong Ye In Park Suk-Ju Kang 14 3 0 31 Mar 2021
Unsupervised Two-Stage Anomaly Detection Yunfei Liu Chaoqun Zhuang Feng Lu 25 29 0 22 Mar 2021
Student-Teacher Feature Pyramid Matching for Anomaly Detection Guodong Wang Shumin Han Errui Ding Di Huang 17 214 0 07 Mar 2021
Deep One-Class Classification via Interpolated Gaussian Descriptor Yuanhong Chen Yu Tian Guansong Pang G. Carneiro VLM 16 96 0 25 Jan 2021
One-Class Classification: A Survey Pramuditha Perera Poojan Oza Vishal M. Patel 45 112 0 08 Jan 2021
TrustMAE: A Noise-Resilient Defect Classification Framework using Memory-Augmented Auto-Encoders with Trust Regions Daniel Stanley Tan Yi-Chun Chen Trista Pei-chun Chen Wei-Chao Chen UQCV 13 55 0 29 Dec 2020
PaDiM: a Patch Distribution Modeling Framework for Anomaly Detection and Localization Thomas Defard Aleksandr Setkov Angélique Loesch Romaric Audigier UQCV 6 811 0 17 Nov 2020
Combining GANs and AutoEncoders for Efficient Anomaly Detection F. Carrara Giuseppe Amato Luca Brombin Fabrizio Falchi Claudio Gennaro Isti Cnr 6 26 0 16 Nov 2020