Imagen de Portada

ACMamba: Fast Unsupervised Anomaly Detection via An Asymmetrical Consensus State Space Model

Fuente: arXiv

Guardado en:

Detalles Bibliográficos
Autores principales:	Wang, Guanchun, Zhang, Xiangrong, Zhang, Yifei, Peng, Zelin, Zhang, Tianyang, Tang, Xu, Jiao, Licheng
Formato:	Preprint
Publicado:	2025
Materias:	Computer Vision and Pattern Recognition Artificial Intelligence Machine Learning
Acceso en línea:	Acceder al recurso
Etiquetas:	Agregar Etiqueta Sin Etiquetas, Sea el primero en etiquetar este registro!

Ejemplares similares

S$^2$Mamba: A Spatial-spectral State Space Model for Hyperspectral Image Classification
por: Wang, Guanchun, et al.
Publicado: (2024)

Seeking Consensus: Geometric-Semantic On-the-Fly Recalibration for Open-Vocabulary Remote Sensing Semantic Segmentation
por: Wang, Guanchun, et al.
Publicado: (2026)

DiffMOD: Progressive Diffusion Point Denoising for Moving Object Detection in Remote Sensing
por: Zhang, Jinyue, et al.
Publicado: (2025)

VADMamba: Exploring State Space Models for Fast Video Anomaly Detection
por: Lyu, Jiahao, et al.
Publicado: (2025)

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

DeProPose: Deficiency-Proof 3D Human Pose Estimation via Adaptive Multi-View Fusion
por: Jiao, Jianbin, et al.
Publicado: (2025)

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

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

SlowFastVAD: Video Anomaly Detection via Integrating Simple Detector and RAG-Enhanced Vision-Language Model
por: Ding, Zongcan, et al.
Publicado: (2025)

VADMamba++: Efficient Video Anomaly Detection via Hybrid Modeling in Grayscale Space
por: Lyu, Jihao, et al.
Publicado: (2026)

One Dinomaly2 Detect Them All: A Unified Framework for Full-Spectrum Unsupervised Anomaly Detection
por: Guo, Jia, et al.
Publicado: (2025)

A Feature Shuffling and Restoration Strategy for Universal Unsupervised Anomaly Detection
por: Luo, Wei, et al.
Publicado: (2026)

FDP: A Frequency-Decomposition Preprocessing Pipeline for Unsupervised Anomaly Detection in Brain MRI
por: Li, Hao, et al.
Publicado: (2025)

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

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

A Recover-then-Discriminate Framework for Robust Anomaly Detection
por: Xing, Peng, et al.
Publicado: (2024)

MambaMoE: Mixture-of-Spectral-Spatial-Experts State Space Model for Hyperspectral Image Classification
por: Xu, Yichu, et al.
Publicado: (2025)

JanusNet: Hierarchical Slice-Block Shuffle and Displacement for Semi-Supervised 3D Multi-Organ Segmentation
por: Zhang, Zheng, et al.
Publicado: (2025)

Multi-Expert Learning Framework with the State Space Model for Optical and SAR Image Registration
por: Wang, Wei, et al.
Publicado: (2025)

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

Interleaving One-Class and Weakly-Supervised Models with Adaptive Thresholding for Unsupervised Video Anomaly Detection
por: Nie, Yongwei, et al.
Publicado: (2024)

Merging Context Clustering with Visual State Space Models for Medical Image Segmentation
por: Zhu, Yun, et al.
Publicado: (2025)

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

Unified Unsupervised Anomaly Detection via Matching Cost Filtering
por: Zhang, Zhe, et al.
Publicado: (2025)

S4DL: Shift-sensitive Spatial-Spectral Disentangling Learning for Hyperspectral Image Unsupervised Domain Adaptation
por: Feng, Jie, et al.
Publicado: (2024)

PKU-GoodsAD: A Supermarket Goods Dataset for Unsupervised Anomaly Detection and Segmentation
por: Zhang, Jian, et al.
Publicado: (2023)

Flow Mismatching: Unsupervised Anomaly Detection via Velocity Discrepancies in Flow Matching Models
por: Chen, Shengzhe, et al.
Publicado: (2026)

One-Step Diffusion with Inverse Residual Fields for Unsupervised Industrial Anomaly Detection
por: Zhang, Boan, et al.
Publicado: (2026)

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

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

Dual Prototype-Conditioned Diffusion Model for Scalable Multi-Class Unsupervised Anomaly Detection in Large Category Spaces
por: Feng, Yaoxuan, et al.
Publicado: (2026)

Renormalized Connection for Scale-preferred Object Detection in Satellite Imagery
por: Zhang, Fan, et al.
Publicado: (2024)

STVG-R1: Incentivizing Instance-Level Reasoning and Grounding in Videos via Reinforcement Learning
por: Zhang, Xiaowen, et al.
Publicado: (2026)

HyperET: Efficient Training in Hyperbolic Space for Multi-modal Large Language Models
por: Peng, Zelin, et al.
Publicado: (2025)

Conditional Polarization Guidance for Camouflaged Object Detection
por: Zhang, QIfan, et al.
Publicado: (2026)

RcAE: Recursive Reconstruction Framework for Unsupervised Industrial Anomaly Detection
por: Wu, Rongcheng, et al.
Publicado: (2025)

Scalable Visual State Space Model with Fractal Scanning
por: Tang, Lv, et al.
Publicado: (2024)

CountMamba: Exploring Multi-directional Selective State-Space Models for Plant Counting
por: He, Hulingxiao, et al.
Publicado: (2024)

Towards Video Anomaly Retrieval from Video Anomaly Detection: New Benchmarks and Model
por: Wu, Peng, et al.
Publicado: (2023)

Subspace-Guided Feature Reconstruction for Unsupervised Anomaly Localization
por: Hotta, Katsuya, et al.
Publicado: (2023)