Cover Image

Pyramid-based Mamba Multi-class Unsupervised Anomaly Detection

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Iqbal, Nasar, Martinel, Niki
Format:	Preprint
Published:	2025
Subjects:	Computer Vision and Pattern Recognition
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

SkelMamba: A State Space Model for Efficient Skeleton Action Recognition of Neurological Disorders
by: Martinel, Niki, et al.
Published: (2024)

MambaAD: Exploring State Space Models for Multi-class Unsupervised Anomaly Detection
by: He, Haoyang, et al.
Published: (2024)

CE-VAE: Capsule Enhanced Variational AutoEncoder for Underwater Image Enhancement
by: Pucci, Rita, et al.
Published: (2024)

Physics Informed Capsule Enhanced Variational AutoEncoder for Underwater Image Enhancement
by: Martinel, Niki, et al.
Published: (2025)

When Unsupervised Domain Adaptation meets One-class Anomaly Detection: Addressing the Two-fold Unsupervised Curse by Leveraging Anomaly Scarcity
by: Mejri, Nesryne, et al.
Published: (2025)

Unsupervised Anomaly Detection with an Enhanced Teacher for Student-Teacher Feature Pyramid Matching
by: Zolfaghari, Mohammad, et al.
Published: (2025)

Learning Unified Reference Representation for Unsupervised Multi-class Anomaly Detection
by: He, Liren, et al.
Published: (2024)

Exploring Plain ViT Reconstruction for Multi-class Unsupervised Anomaly Detection
by: Zhang, Jiangning, et al.
Published: (2023)

Tracking Skiers from the Top to the Bottom
by: Dunnhofer, Matteo, et al.
Published: (2023)

H3D-MarNet: Wavelet-Guided Dual-Path Learning for Metal Artifact Suppression and CT Modality Transformation for Radiotherapy Workflows
by: Rehman, Mubashara, et al.
Published: (2026)

Pro-AD: Learning Comprehensive Prototypes with Prototype-based Constraint for Multi-class Unsupervised Anomaly Detection
by: Zhou, Ziqing, et al.
Published: (2025)

SP-Mamba: Spatial-Perception State Space Model for Unsupervised Medical Anomaly Detection
by: Pan, Rui, et al.
Published: (2025)

ReMAR-DS: Recalibrated Feature Learning for Metal Artifact Reduction and CT Domain Transformation
by: Rehman, Mubashara, et al.
Published: (2025)

HTD-Mamba: Efficient Hyperspectral Target Detection with Pyramid State Space Model
by: Shen, Dunbin, et al.
Published: (2024)

Learning Multi-view Multi-class Anomaly Detection
by: Yu, Qianzi, et al.
Published: (2025)

Center-aware Residual Anomaly Synthesis for Multi-class Industrial Anomaly Detection
by: Chen, Qiyu, et al.
Published: (2025)

CNC: Cross-modal Normality Constraint for Unsupervised Multi-class Anomaly Detection
by: Wang, Xiaolei, et al.
Published: (2024)

STNMamba: Mamba-based Spatial-Temporal Normality Learning for Video Anomaly Detection
by: Li, Zhangxun, et al.
Published: (2024)

Dinomaly: The Less Is More Philosophy in Multi-Class Unsupervised Anomaly Detection
by: Guo, Jia, et al.
Published: (2024)

M2S2L: Mamba-based Multi-Scale Spatial-temporal Learning for Video Anomaly Detection
by: Liu, Yang, et al.
Published: (2025)

Collaborative Reconstruction and Repair for Multi-class Industrial Anomaly Detection
by: Wang, Qishan, et al.
Published: (2025)

PyramidMamba: Rethinking Pyramid Feature Fusion with Selective Space State Model for Semantic Segmentation of Remote Sensing Imagery
by: Wang, Libo, et al.
Published: (2024)

Memory-Augmented Dual-Decoder Networks for Multi-Class Unsupervised Anomaly Detection
by: Xing, Jingyu, et al.
Published: (2025)

Component-aware Unsupervised Logical Anomaly Generation for Industrial Anomaly Detection
by: Tong, Xuan, et al.
Published: (2025)

Self-Navigated Residual Mamba for Universal Industrial Anomaly Detection
by: Li, Hanxi, et al.
Published: (2025)

A Comprehensive Library for Benchmarking Multi-class Visual Anomaly Detection
by: Zhang, Jiangning, et al.
Published: (2024)

Normality Prior Guided Multi-Semantic Fusion Network for Unsupervised Image Anomaly Detection
by: Xu, Muhao, et al.
Published: (2025)

CSAD: Unsupervised Component Segmentation for Logical Anomaly Detection
by: Hsieh, Yu-Hsuan, et al.
Published: (2024)

Exploring Multimodal Prompts For Unsupervised Continuous Anomaly Detection
by: Zhou, Mingle, et al.
Published: (2026)

Dual-Modeling Decouple Distillation for Unsupervised Anomaly Detection
by: Liu, Xinyue, et al.
Published: (2024)

Anomaly Detection and Localization for Speech Deepfakes via Feature Pyramid Matching
by: Coletta, Emma, et al.
Published: (2025)

MambaReg: Mamba-Based Disentangled Convolutional Sparse Coding for Unsupervised Deformable Multi-Modal Image Registration
by: Wen, Kaiang, et al.
Published: (2024)

Multi-class Image Anomaly Detection for Practical Applications: Requirements and Robust Solutions
by: Heo, Jaehyuk, et al.
Published: (2025)

Prior Normality Prompt Transformer for Multi-class Industrial Image Anomaly Detection
by: Yao, Haiming, et al.
Published: (2024)

Fence off Anomaly Interference: Cross-Domain Distillation for Fully Unsupervised Anomaly Detection
by: Liu, Xinyue, et al.
Published: (2025)

Toward Multi-class Anomaly Detection: Exploring Class-aware Unified Model against Inter-class Interference
by: Jiang, Xi, et al.
Published: (2024)

Unsupervised Anomaly Detection via Masked Diffusion Posterior Sampling
by: Wu, Di, et al.
Published: (2024)

Vision-Language Models Assisted Unsupervised Video Anomaly Detection
by: Jiang, Yalong, et al.
Published: (2024)

Context Enhancement with Reconstruction as Sequence for Unified Unsupervised Anomaly Detection
by: Yang, Hui-Yue, et al.
Published: (2024)

Omni-AD: Learning to Reconstruct Global and Local Features for Multi-class Anomaly Detection
by: Quan, Jiajie, et al.
Published: (2025)