Towards Visually Explaining Variational Autoencoders

18 November 2019

Ziyan Wu

Papers citing "Towards Visually Explaining Variational Autoencoders"

50 / 104 papers shown

Title
Privacy-Preserving Federated Embedding Learning for Localized Retrieval-Augmented Generation Qianren Mao Qili Zhang Hanwen Hao Zhentao Han Runhua Xu ... Bo Li Y. Song Jin Dong Jianxin Li Philip S. Yu 66 0 0 27 Apr 2025
GenCLIP: Generalizing CLIP Prompts for Zero-shot Anomaly Detection Donghyeong Kim Chaewon Park Suhwan Cho Hyeonjeong Lim Minseok Kang Jungho Lee Sangyoun Lee VLM 44 0 0 21 Apr 2025
Bi-Grid Reconstruction for Image Anomaly Detection Huichuan Huang Zhiqing Zhong Guangyu Wei Yonghao Wan Wenlong Sun Aimin Feng 48 0 0 01 Apr 2025
TraNCE: Transformative Non-linear Concept Explainer for CNNs Ugochukwu Ejike Akpudo Yongsheng Gao J. Zhou Andrew Lewis 68 0 0 26 Mar 2025
Correcting Deviations from Normality: A Reformulated Diffusion Model for Multi-Class Unsupervised Anomaly Detection Farzad Beizaee Gregory A. Lodygensky Christian Desrosiers Jose Dolz 36 0 0 25 Mar 2025
ResAD: A Simple Framework for Class Generalizable Anomaly Detection Xincheng Yao Z. Chen Chao Gao Guangtao Zhai Chongyang Zhang 24 0 0 26 Oct 2024
Unveiling the Black Box: Independent Functional Module Evaluation for Bird's-Eye-View Perception Model Ludan Zhang Xiaokang Ding Yuqi Dai Lei He Keqiang Li 22 0 0 18 Sep 2024
Context Enhancement with Reconstruction as Sequence for Unified Unsupervised Anomaly Detection Hui-Yue Yang Hui Chen Lihao Liu Zijia Lin Kai Chen Liejun Wang Jungong Han Guiguang Ding 36 0 0 10 Sep 2024
Historical Printed Ornaments: Dataset and Tasks Sayan Kumar Chaki Z. S. Baltaci Elliot Vincent Remi Emonet Fabienne Vial-Bonacci Christelle Bahier-Porte Mathieu Aubry Thierry Fournel 37 0 0 16 Aug 2024
Defining and Measuring Disentanglement for non-Independent Factors of Variation Antonio Almudévar Alfonso Ortega Luis Vicente A. Miguel Eduardo Lleida CoGe DRL 34 0 0 13 Aug 2024
AnomalySD: Few-Shot Multi-Class Anomaly Detection with Stable Diffusion Model Zhenyu Yan Qingqing Fang Wenxi Lv Qinliang Su DiffM 32 0 0 04 Aug 2024
Towards Open-World Object-based Anomaly Detection via Self-Supervised Outlier Synthesis Brian K. S. Isaac-Medina Yona Falinie A. Gaus Neelanjan Bhowmik T. Breckon 23 2 0 22 Jul 2024
Enhancing Multi-Class Anomaly Detection via Diffusion Refinement with Dual Conditioning Jiawei Zhan Jinxiang Lai Bin-Bin Gao Jun Liu Xiaochen Chen Chengjie Wang 35 1 0 02 Jul 2024
Interpretable Representation Learning of Cardiac MRI via Attribute Regularization Maxime Di Folco Cosmin I. Bercea Emily Chan Julia A. Schnabel 44 0 0 12 Jun 2024
GLAD: Towards Better Reconstruction with Global and Local Adaptive Diffusion Models for Unsupervised Anomaly Detection Hang Yao Ming-Yu Liu Haolin Wang Zhicun Yin Zifei Yan Xiaopeng Hong W. Zuo 37 15 0 11 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 59 7 0 23 May 2024
MiniMaxAD: A Lightweight Autoencoder for Feature-Rich Anomaly Detection Feng Wang Chengming Liu Lei Shi Haibo Pang 32 1 0 16 May 2024
Unsupervised Anomaly Detection via Masked Diffusion Posterior Sampling Di Wu Shicai Fan Xue Zhou Li Yu Yuzhong Deng Jianxiao Zou Baihong Lin DiffM 38 4 0 27 Apr 2024
On the Road to Clarity: Exploring Explainable AI for World Models in a Driver Assistance System Mohamed Roshdi Julian Petzold Mostafa Wahby Hussein Ebrahim Mladen Berekovic Heiko Hamann 32 0 0 26 Apr 2024
IPAD: Industrial Process Anomaly Detection Dataset Jinfan Liu Yichao Yan Junjie Li Weiming Zhao Pengzhi Chu Xingdong Sheng Yunhui Liu Xiaokang Yang 35 0 0 23 Apr 2024
Exploring Latent Pathways: Enhancing the Interpretability of Autonomous Driving with a Variational Autoencoder Anass Bairouk Mirjana Maras Simon Herlin Alexander Amini Marc Blanchon Ramin Hasani Patrick Chareyre Daniela Rus 26 4 0 02 Apr 2024
Long-Tailed Anomaly Detection with Learnable Class Names Chih-Hui Ho Kuan-Chuan Peng Nuno Vasconcelos OODD 33 6 0 29 Mar 2024
Toward Multi-class Anomaly Detection: Exploring Class-aware Unified Model against Inter-class Interference Xi Jiang Ying Chen Qiang Nie Jianlin Liu Yong-Jin Liu Chengjie Wang Feng Zheng 42 3 0 21 Mar 2024
Hierarchical Gaussian Mixture Normalizing Flow Modeling for Unified Anomaly Detection Xincheng Yao Ruoqing Li Zefeng Qian Lu Wang Chongyang Zhang 14 8 0 20 Mar 2024
DMAD: Dual Memory Bank for Real-World Anomaly Detection Jianlong Hu Xu Chen Zhenye Gan Jinlong Peng Shengchuan Zhang Jiangning Zhang Yabiao Wang Chengjie Wang Liujuan Cao Rongrong Ji 19 4 0 19 Mar 2024
Anomaly Detection by Adapting a pre-trained Vision Language Model Yuxuan Cai Xinwei He Dingkang Liang Ao Tong Xiang Bai VLM 24 1 0 14 Mar 2024
A SAM-guided Two-stream Lightweight Model for Anomaly Detection Chenghao Li Lei Qi Xin Geng 19 4 0 29 Feb 2024
Reimagining Anomalies: What If Anomalies Were Normal? Philipp Liznerski Saurabh Varshneya Ece Calikus Sophie Fellenz Marius Kloft 33 4 0 22 Feb 2024
An Incremental Unified Framework for Small Defect Inspection Jiaqi Tang Hao Lu Xiaogang Xu Ruizheng Wu Sixing Hu Tong Zhang Tsz Wa Cheng Ming Ge Ying-Cong Chen Fugee Tsung 8 5 0 14 Dec 2023
Attribute Regularized Soft Introspective Variational Autoencoder for Interpretable Cardiac Disease Classification Maxime Di Folco Cosmin I. Bercea Julia A. Schnabel 30 0 0 14 Dec 2023
How Low Can You Go? Surfacing Prototypical In-Distribution Samples for Unsupervised Anomaly Detection Felix Meissen Johannes Getzner Alexander Ziller Georgios Kaissis Daniel Rueckert OODD AI4TS 19 0 0 06 Dec 2023
Latent Space Explorer: Visual Analytics for Multimodal Latent Space Exploration Bum Chul Kwon S. Friedman Kai Xu S. Lubitz Anthony Philippakis P. Batra P. Ellinor Kenney Ng 19 0 0 01 Dec 2023
Dual-Branch Reconstruction Network for Industrial Anomaly Detection with RGB-D Data Chenyang Bi Yueyang Li Haichi Luo 30 2 0 12 Nov 2023
GRAM: An Interpretable Approach for Graph Anomaly Detection using Gradient Attention Maps Yifei Yang Peng Wang Xiaofan He Dongmian Zou 14 5 0 10 Nov 2023
Hierarchical Vector Quantized Transformer for Multi-class Unsupervised Anomaly Detection Ruiying Lu YuJie Wu Long Tian Dongsheng Wang Bo Chen Xiyang Liu Ruimin Hu 25 39 0 22 Oct 2023
A Discrepancy Aware Framework for Robust Anomaly Detection Yuxuan Cai Dingkang Liang Dongliang Luo Xinwei He Xin Yang Xiang Bai AAML UQCV 110 16 0 11 Oct 2023
A Prototype-Based Neural Network for Image Anomaly Detection and Localization Chao Huang Zhao Kang Hong Wu 14 3 0 04 Oct 2023
Conditioning Latent-Space Clusters for Real-World Anomaly Classification Daniel Bogdoll Svetlana Pavlitska Simon Klaus J. Marius Zöllner DRL 19 1 0 18 Sep 2023
Learning with Multi-modal Gradient Attention for Explainable Composed Image Retrieval Prateksha Udhayanan Srikrishna Karanam Balaji Vasan Srinivasan 16 2 0 31 Aug 2023
MSFlow: Multi-Scale Flow-based Framework for Unsupervised Anomaly Detection Yixuan Zhou Xing Xu Jingkuan Song Fumin Shen Hengtao Shen AI4CE 15 16 0 29 Aug 2023
Focus the Discrepancy: Intra- and Inter-Correlation Learning for Image Anomaly Detection Xincheng Yao Ruoqing Li Zefeng Qian Yan Luo Chongyang Zhang 11 22 0 06 Aug 2023
LafitE: Latent Diffusion Model with Feature Editing for Unsupervised Multi-class Anomaly Detection Haonan Yin Guanlong Jiao Qianhui Wu Börje F. Karlsson Biqing Huang Chin-Yew Lin DiffM 30 9 0 16 Jul 2023
Contextual Affinity Distillation for Image Anomaly Detection Jie M. Zhang Masanori Suganuma Takayuki Okatani 34 14 0 06 Jul 2023
MedLSAM: Localize and Segment Anything Model for 3D CT Images Wenhui Lei Xu Wei Xiaofan Zhang Kang Li Shaoting Zhang MedIm 18 3 0 26 Jun 2023
Learning with Difference Attention for Visually Grounded Self-supervised Representations Aishwarya Agarwal Srikrishna Karanam Balaji Vasan Srinivasan 19 1 0 26 Jun 2023
Towards Total Online Unsupervised Anomaly Detection and Localization in Industrial Vision Han Gao Huiyuan Luo Fei Shen Zhengtao Zhang 19 6 0 25 May 2023
Multiresolution Feature Guidance Based Transformer for Anomaly Detection Shuting Yan Pingping Chen Honghui Chen Huan-hao Mao F. Chen Zhi-Long Lin ViT 15 4 0 24 May 2023
EfficientAD: Accurate Visual Anomaly Detection at Millisecond-Level Latencies Kilian Batzner Lars Heckler Rebecca König 35 129 0 25 Mar 2023
DiffusionAD: Norm-guided One-step Denoising Diffusion for Anomaly Detection Hui Zhang Zheng Wang Zuxuan Wu Yu-Gang Jiang DiffM 30 24 0 15 Mar 2023
Unsupervised Pathology Detection: A Deep Dive Into the State of the Art I. Lagogiannis Felix Meissen Georgios Kaissis Daniel Rueckert OOD 83 18 0 01 Mar 2023