MiniMaxAD: A Lightweight Autoencoder for Feature-Rich Anomaly Detection

16 May 2024

Papers citing "MiniMaxAD: A Lightweight Autoencoder for Feature-Rich Anomaly Detection"

8 / 8 papers shown

Title
Real-IAD: A Real-World Multi-View Dataset for Benchmarking Versatile Industrial Anomaly Detection Chengjie Wang Wenbing Zhu Bin-Bin Gao Zhenye Gan Jianning Zhang Zhihao Gu Shuguang Qian Mingang Chen Lizhuang Ma 75 49 0 19 Mar 2024
PKU-GoodsAD: A Supermarket Goods Dataset for Unsupervised Anomaly Detection and Segmentation Jian Zhang Runwei Ding Miaoju Ban Linhui Dai 35 13 0 11 Jul 2023
CFLOW-AD: Real-Time Unsupervised Anomaly Detection with Localization via Conditional Normalizing Flows Denis A. Gudovskiy Shun Ishizaka Kazuki Kozuka 54 400 0 27 Jul 2021
RepVGG: Making VGG-style ConvNets Great Again Xiaohan Ding Xinming Zhang Ningning Ma Jungong Han Guiguang Ding Jian Sun 200 1,567 0 11 Jan 2021
Towards Visually Explaining Variational Autoencoders Wenqian Liu Runze Li Meng Zheng Srikrishna Karanam Ziyan Wu B. Bhanu Richard J. Radke Mario Sznaier 80 216 0 18 Nov 2019
Uninformed Students: Student-Teacher Anomaly Detection with Discriminative Latent Embeddings Paul Bergmann Michael Fauser David Sattlegger C. Steger 55 660 0 06 Nov 2019
OCGAN: One-class Novelty Detection Using GANs with Constrained Latent Representations Pramuditha Perera Ramesh Nallapati Bing Xiang 104 523 0 20 Mar 2019
Skip-GANomaly: Skip Connected and Adversarially Trained Encoder-Decoder Anomaly Detection S. Akçay Amir Atapour-Abarghouei T. Breckon UQCV 68 375 0 25 Jan 2019