Dinomaly: The Less Is More Philosophy in Multi-Class Unsupervised Anomaly Detection

Dinomaly: The Less Is More Philosophy in Multi-Class Unsupervised Anomaly Detection

23 May 2024

Huiqi Li

Hongen Liao

Papers citing "Dinomaly: The Less Is More Philosophy in Multi-Class Unsupervised Anomaly Detection"

17 / 17 papers shown

Title
Learning Multi-view Multi-class Anomaly Detection Qianzi Yu Yang Cao Yu Kang 43 0 0 30 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 30 0 0 21 Apr 2025
HSS-IAD: A Heterogeneous Same-Sort Industrial Anomaly Detection Dataset Qishan Wang Shuyong Gao J. Hu Jiawen Yu Xuan Tong You Li Wenqiang Zhang 19 0 0 17 Apr 2025
AnomalyR1: A GRPO-based End-to-end MLLM for Industrial Anomaly Detection Yuhao Chao Jie Liu J. Tang Gangshan Wu 21 1 0 16 Apr 2025
Exploring Intrinsic Normal Prototypes within a Single Image for Universal Anomaly Detection Wei Luo Yunkang Cao Haiming Yao Xiaotian Zhang Jianan Lou Y. Cheng Weiming Shen Wenyong Yu 50 1 0 04 Mar 2025
ROADS: Robust Prompt-driven Multi-Class Anomaly Detection under Domain Shift Hossein Kashiani Niloufar Alipour Talemi Fatemeh Afghah 81 2 0 25 Nov 2024
SoftPatch: Unsupervised Anomaly Detection with Noisy Data Xi Jiang Ying Chen Qiang Nie Y. Liu Jianlin Liu Jinbao Wang WU Kai Chengjie Wang Feng Zheng 109 34 0 21 Mar 2024
Industrial Anomaly Detection and Localization Using Weakly-Supervised Residual Transformers Hanxi Li Jing Wu Lin Yuanbo Wu Hao Chen Deyin Liu Mingwen Wang Peng Wang ViT 27 4 0 06 Jun 2023
SimpleNet: A Simple Network for Image Anomaly Detection and Localization Zhikang Liu Yiming Zhou Yuansheng Xu Zilei Wang 64 219 0 27 Mar 2023
WinCLIP: Zero-/Few-Shot Anomaly Classification and Segmentation Jongheon Jeong Yang Zou Taewan Kim Dongqing Zhang Avinash Ravichandran O. Dabeer VLM 61 92 0 26 Mar 2023
Anomaly Detection Requires Better Representations Tal Reiss Niv Cohen Eliahu Horwitz Ron Abutbul Yedid Hoshen OOD AI4TS SSL 31 21 0 19 Oct 2022
Omni-frequency Channel-selection Representations for Unsupervised Anomaly Detection Yufei Liang Jiangning Zhang Shiwei Zhao Ru-Chwen Wu Yong-Jin Liu Shuwen Pan 105 114 0 01 Mar 2022
Anomaly Detection via Reverse Distillation from One-Class Embedding Hanqiu Deng Xingyu Li UQCV 98 299 0 26 Jan 2022
Masked Autoencoders Are Scalable Vision Learners Kaiming He Xinlei Chen Saining Xie Yanghao Li Piotr Dollár Ross B. Girshick ViT TPM 255 7,337 0 11 Nov 2021
Emerging Properties in Self-Supervised Vision Transformers Mathilde Caron Hugo Touvron Ishan Misra Hervé Jégou Julien Mairal Piotr Bojanowski Armand Joulin 283 5,723 0 29 Apr 2021
DFR: Deep Feature Reconstruction for Unsupervised Anomaly Segmentation Jie Yang Yong Shi Zhiquan Qi UQCV 84 114 0 13 Dec 2020
Improving neural networks by preventing co-adaptation of feature detectors Geoffrey E. Hinton Nitish Srivastava A. Krizhevsky Ilya Sutskever Ruslan Salakhutdinov VLM 237 7,597 0 03 Jul 2012