PANDA: Adapting Pretrained Features for Anomaly Detection and Segmentation

12 October 2020

Papers citing "PANDA: Adapting Pretrained Features for Anomaly Detection and Segmentation"

47 / 47 papers shown

Title
Learning to Detect Multi-class Anomalies with Just One Normal Image Prompt Bin-Bin Gao 37 4 0 14 May 2025
ReplayCAD: Generative Diffusion Replay for Continual Anomaly Detection Lei Hu Zhiyong Gan Ling Deng Jinglin Liang Lingyu Liang Shuangping Huang Tianshui Chen DiffM 31 0 0 10 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 34 0 0 15 Apr 2025
Killing it with Zero-Shot: Adversarially Robust Novelty Detection Hossein Mirzaei Mohammad Jafari Hamid Reza Dehbashi Zeinab Sadat Taghavi Mohammad Sabokrou M. Rohban 77 1 0 28 Jan 2025
GeneralAD: Anomaly Detection Across Domains by Attending to Distorted Features Luc P.J. Strater Mohammadreza Salehi E. Gavves Cees G. M. Snoek Yuki M. Asano 41 7 0 17 Jul 2024
Learning Non-Linear Invariants for Unsupervised Out-of-Distribution Detection Lars Doorenbos Raphael Sznitman Pablo Márquez-Neila 45 1 0 04 Jul 2024
Enhancing Anomaly Detection Generalization through Knowledge Exposure: The Dual Effects of Augmentation Mohammad Akhavan Anvari Rojina Kashefi Vahid Reza Khazaie Mohammad Khalooei Mohammad Sabokrou 48 0 0 15 Jun 2024
Iterative Deployment Exposure for Unsupervised Out-of-Distribution Detection Lars Doorenbos Raphael Sznitman Pablo Márquez-Neila OODD 33 0 0 04 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 69 8 0 23 May 2024
Spatial-aware Attention Generative Adversarial Network for Semi-supervised Anomaly Detection in Medical Image Zerui Zhang Zhichao Sun Zelong Liu Bo Du Rui Yu Zhou Zhao Yongchao Xu GAN MedIm 41 3 0 21 May 2024
Fractals as Pre-training Datasets for Anomaly Detection and Localization C. Ugwu S. Casarin Oswald Lanz 32 0 0 11 May 2024
Feature Purified Transformer With Cross-level Feature Guiding Decoder For Multi-class OOD and Anomaly Deteciton Chun-Wei Lin Pi-Wei Chen Chao-Chun Chen OODD 39 0 0 30 Apr 2024
A2C: A Modular Multi-stage Collaborative Decision Framework for Human-AI Teams Shahroz Tariq Mohan Baruwal Chhetri Surya Nepal Cécile Paris 40 6 0 25 Jan 2024
Multimodal Industrial Anomaly Detection by Crossmodal Feature Mapping Alex Costanzino Pierluigi Zama Ramirez Giuseppe Lisanti Luigi Di Stefano 19 10 0 07 Dec 2023
Set Features for Anomaly Detection Niv Cohen Issar Tzachor Yedid Hoshen 35 0 0 24 Nov 2023
PAD: A Dataset and Benchmark for Pose-agnostic Anomaly Detection Qiang Zhou Weize Li Lihan Jiang Guoliang Wang Guyue Zhou Shanghang Zhang Hao Zhao 32 30 0 11 Oct 2023
Understanding the limitations of self-supervised learning for tabular anomaly detection Kimberly T. Mai Toby O. Davies Lewis D. Griffin SSL 32 0 0 15 Sep 2023
What can Discriminator do? Towards Box-free Ownership Verification of Generative Adversarial Network Zi-Shun Huang Boheng Li Yan Cai Run Wang Shangwei Guo Liming Fang Jing Chen Lina Wang 38 11 0 29 Jul 2023
AC-Norm: Effective Tuning for Medical Image Analysis via Affine Collaborative Normalization Chuyan Zhang Yuncheng Yang Hao Zheng Yun Gu 41 0 0 28 Jul 2023
UniFormaly: Towards Task-Agnostic Unified Framework for Visual Anomaly Detection Yujin Lee Harin Lim Seoyoon Jang H. Yoon 32 4 0 24 Jul 2023
Contextual Affinity Distillation for Image Anomaly Detection Jie Zhang Masanori Suganuma Takayuki Okatani 42 14 0 06 Jul 2023
Feasibility of Universal Anomaly Detection without Knowing the Abnormality in Medical Images C. Cui Yaohong Wang Shunxing Bao Yucheng Tang Ruining Deng ... Qi Liu Lori A. Coburn K. Wilson Bennett A. Landman Yuankai Huo OOD 36 0 0 03 Jul 2023
Improving neural network representations using human similarity judgments Lukas Muttenthaler Lorenz Linhardt Jonas Dippel Robert A. Vandermeulen Katherine L. Hermann Andrew Kyle Lampinen Simon Kornblith 40 31 0 07 Jun 2023
Explainable Anomaly Detection in Images and Videos: A Survey Yizhou Wang Dongliang Guo Sheng Li Octavia Camps Yun Fu 32 5 0 13 Feb 2023
High-Throughput, High-Performance Deep Learning-Driven Light Guide Plate Surface Visual Quality Inspection Tailored for Real-World Manufacturing Environments Carol Xu M. Famouri Gautam Bathla M. Shafiee Alexander Wong 26 2 0 20 Dec 2022
Towards Realistic Out-of-Distribution Detection: A Novel Evaluation Framework for Improving Generalization in OOD Detection Vahid Reza Khazaie Anthony C. Wong Mohammad Sabokrou OODD 18 2 0 20 Nov 2022
Normal Reference Attention and Defective Feature Perception Network for Surface Defect Detection Wei Luo Haiming Yao Wenyong Yu 32 15 0 18 Nov 2022
Anomaly Detection via Multi-Scale Contrasted Memory Loic Jezequel Ngoc-Son Vu Jean Beaudet A. Histace 27 0 0 16 Nov 2022
BayesCap: Bayesian Identity Cap for Calibrated Uncertainty in Frozen Neural Networks Uddeshya Upadhyay Shyamgopal Karthik Yanbei Chen Massimiliano Mancini Zeynep Akata UQCV BDL 35 22 0 14 Jul 2022
ADBench: Anomaly Detection Benchmark Songqiao Han Xiyang Hu Hailiang Huang Mingqi Jiang Yue Zhao OOD 41 296 0 19 Jun 2022
Attack-Agnostic Adversarial Detection Jiaxin Cheng Mohamed Hussein J. Billa Wael AbdAlmageed AAML 26 0 0 01 Jun 2022
ARCADE: Adversarially Regularized Convolutional Autoencoder for Network Anomaly Detection W. T. Lunardi Martin Andreoni Lopez J. Giacalone 24 22 0 03 May 2022
Unsupervised Word Segmentation using K Nearest Neighbors T. Fuchs Yedid Hoshen Joseph Keshet SSL 24 6 0 27 Apr 2022
LightDefectNet: A Highly Compact Deep Anti-Aliased Attention Condenser Neural Network Architecture for Light Guide Plate Surface Defect Detection Carol Xu M. Famouri Gautam Bathla M. Shafiee Alexander Wong 33 1 0 25 Apr 2022
Discriminative Feature Learning Framework with Gradient Preference for Anomaly Detection Muhao Xu Xueying Zhou Xizhan Gao Wei-Xiong He Sijie Niu 29 7 0 23 Apr 2022
Catching Both Gray and Black Swans: Open-set Supervised Anomaly Detection Choubo Ding Guansong Pang Chunhua Shen OOD 24 112 0 28 Mar 2022
No Shifted Augmentations (NSA): compact distributions for robust self-supervised Anomaly Detection Mohamed Yousef Marcel R. Ackermann Unmesh Kurup Tom E. Bishop OODD OOD 40 3 0 19 Mar 2022
Anomaly Detection in 3D Point Clouds using Deep Geometric Descriptors Paul Bergmann David Sattlegger 3DPC 36 57 0 23 Feb 2022
Anomaly Detection via Reverse Distillation from One-Class Embedding Hanqiu Deng Xingyu Li UQCV 117 448 0 26 Jan 2022
Anomaly Clustering: Grouping Images into Coherent Clusters of Anomaly Types Kihyuk Sohn Jinsung Yoon Chun-Liang Li Chen-Yu Lee Tomas Pfister 22 18 0 21 Dec 2021
Transformaly -- Two (Feature Spaces) Are Better Than One M. Cohen S. Avidan ViT 13 27 0 08 Dec 2021
Data Invariants to Understand Unsupervised Out-of-Distribution Detection Lars Doorenbos Raphael Sznitman Pablo Márquez-Neila OODD 27 6 0 26 Nov 2021
Pediatric Otoscopy Video Screening with Shift Contrastive Anomaly Detection Weiyao Wang Aniruddha Tamhane Christine Santos J. Rzasa James H Clark Therese L. Canares Mathias Unberath 32 4 0 25 Oct 2021
Generalized Out-of-Distribution Detection: A Survey Jingkang Yang Kaiyang Zhou Yixuan Li Ziwei Liu 188 879 0 21 Oct 2021
Y-GAN: Learning Dual Data Representations for Efficient Anomaly Detection Marija Ivanovska Vitomir Štruc 25 2 0 28 Sep 2021
Transfer Learning Gaussian Anomaly Detection by Fine-tuning Representations Oliver Rippel Arnav Chavan Chucai Lei Dorit Merhof 44 18 0 09 Aug 2021
Deep One-Class Classification via Interpolated Gaussian Descriptor Yuanhong Chen Yu Tian Guansong Pang G. Carneiro VLM 30 96 0 25 Jan 2021