MOCCA: Multi-Layer One-Class ClassificAtion for Anomaly Detection

9 December 2020

Papers citing "MOCCA: Multi-Layer One-Class ClassificAtion for Anomaly Detection"

7 / 7 papers shown

Title
Improved AutoEncoder with LSTM module and KL divergence Wei Huang Bingyang Zhang Kaituo Zhang Hua Gao Rongchun Wan 23 1 0 30 Apr 2024
Do LLMs Understand Visual Anomalies? Uncovering LLM's Capabilities in Zero-shot Anomaly Detection Jiaqi Zhu Shaofeng Cai Fang Deng Junran Wu Junran Wu 55 15 0 15 Apr 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
NNG-Mix: Improving Semi-supervised Anomaly Detection with Pseudo-anomaly Generation Hao Dong Gaëtan Frusque Yue Zhao Eleni Chatzi Olga Fink AAML 32 5 0 20 Nov 2023
Target before Shooting: Accurate Anomaly Detection and Localization under One Millisecond via Cascade Patch Retrieval Hanxi Li Jianfei Hu Bo-wen Li Hao Chen Yongbin Zheng Chunhua Shen 40 17 0 13 Aug 2023
Segment Any Anomaly without Training via Hybrid Prompt Regularization Yunkang Cao Xiaohao Xu Chen Sun Y. Cheng Zongwei Du Liang Gao Nong Sang VLM 37 70 0 18 May 2023
Y-GAN: Learning Dual Data Representations for Efficient Anomaly Detection Marija Ivanovska Vitomir Štruc 20 2 0 28 Sep 2021