Few Shot Part Segmentation Reveals Compositional Logic for Industrial
Anomaly Detection

Few Shot Part Segmentation Reveals Compositional Logic for Industrial Anomaly Detection

21 December 2023

Philip Chikontwe

Myeongkyun Kang

Papers citing "Few Shot Part Segmentation Reveals Compositional Logic for Industrial Anomaly Detection"

11 / 11 papers shown

Title
LogicQA: Logical Anomaly Detection with Vision Language Model Generated Questions Yejin Kwon Daeun Moon Youngje Oh Hyunsoo Yoon 71 0 0 26 Mar 2025
Towards Training-free Anomaly Detection with Vision and Language Foundation Models Jinjin Zhang Guodong Wang Yizhou Jin Di Huang 42 1 0 24 Mar 2025
Revisiting Multimodal Fusion for 3D Anomaly Detection from an Architectural Perspective Kaifang Long Guoyang Xie Lianbo Ma Jiaqi Liu Zhichao Lu 26 2 0 23 Dec 2024
LADMIM: Logical Anomaly Detection with Masked Image Modeling in Discrete Latent Space Shunsuke Sakai Tatushito Hasegawa Makoto Koshino 22 1 0 14 Oct 2024
Can Visual Language Models Replace OCR-Based Visual Question Answering Pipelines in Production? A Case Study in Retail Bianca Lamm Janis Keuper 44 2 0 28 Aug 2024
Separating Novel Features for Logical Anomaly Detection: A Straightforward yet Effective Approach Kangil Lee Geonuk Kim 34 0 0 25 Jul 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 124 59 0 21 Mar 2024
A Survey on Visual Anomaly Detection: Challenge, Approach, and Prospect Yunkang Cao Xiaohao Xu Jiangning Zhang Yuqi Cheng Xiaonan Huang Guansong Pang Weiming Shen 81 41 0 29 Jan 2024
Set Features for Anomaly Detection Niv Cohen Issar Tzachor Yedid Hoshen 27 0 0 24 Nov 2023
Anomaly Detection via Reverse Distillation from One-Class Embedding Hanqiu Deng Xingyu Li UQCV 101 440 0 26 Jan 2022
Few-Shot Segmentation Without Meta-Learning: A Good Transductive Inference Is All You Need? Malik Boudiaf H. Kervadec Imtiaz Masud Ziko Pablo Piantanida Ismail Ben Ayed Jose Dolz VLM 169 186 0 11 Dec 2020