:: Library Catalog

Imagen de Portada

Guardado en:

Detalles Bibliográficos
Autores principales:	Li, Zhangxun, Zhao, Mengyang, Yang, Xuan, Liu, Yang, Sheng, Jiamu, Zeng, Xinhua, Wang, Tian, Wu, Kewei, Jiang, Yu-Gang
Formato:	Preprint
Publicado:	2024
Materias:	Computer Vision and Pattern Recognition
Acceso en línea:	https://arxiv.org/abs/2412.20084
Etiquetas:	Agregar Etiqueta Sin Etiquetas, Sea el primero en etiquetar este registro!

Ejemplares similares

DualMamba: A Lightweight Spectral-Spatial Mamba-Convolution Network for Hyperspectral Image Classification
por: Sheng, Jiamu, et al.
Publicado: (2024)

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

RC-NF: Robot-Conditioned Normalizing Flow for Real-Time Anomaly Detection in Robotic Manipulation
por: Zhou, Shijie, et al.
Publicado: (2026)

Self-Supervised Spatial-Temporal Normality Learning for Time Series Anomaly Detection
por: Chen, Yutong, et al.
Publicado: (2024)

Text Prompt with Normality Guidance for Weakly Supervised Video Anomaly Detection
por: Yang, Zhiwei, et al.
Publicado: (2024)

AI-Generated Video Detection via Spatio-Temporal Anomaly Learning
por: Bai, Jianfa, et al.
Publicado: (2024)

DA-Flow: Dual Attention Normalizing Flow for Skeleton-based Video Anomaly Detection
por: Wu, Ruituo, et al.
Publicado: (2024)

Spatial-Temporal Mamba Network for EEG-based Motor Imagery Classification
por: Yang, Xiaoxiao, et al.
Publicado: (2024)

Normal and Abnormal Pathology Knowledge-Augmented Vision-Language Model for Anomaly Detection in Pathology Images
por: Song, Jinsol, et al.
Publicado: (2025)

IADGPT: Unified LVLM for Few-Shot Industrial Anomaly Detection, Localization, and Reasoning via In-Context Learning
por: Zhao, Mengyang, et al.
Publicado: (2025)

FTDMamba: Frequency-Assisted Temporal Dilation Mamba for Unmanned Aerial Vehicle Video Anomaly Detection
por: Liu, Cheng-Zhuang, et al.
Publicado: (2026)

MetMamba: Regional Weather Forecasting with Spatial-Temporal Mamba Model
por: Qin, Haoyu, et al.
Publicado: (2024)

DiffusionAD: Norm-guided One-step Denoising Diffusion for Anomaly Detection
por: Zhang, Hui, et al.
Publicado: (2023)

Weakly Supervised Video Anomaly Detection and Localization with Spatio-Temporal Prompts
por: Wu, Peng, et al.
Publicado: (2024)

GPA-RAM: Grasp-Pretraining Augmented Robotic Attention Mamba for Spatial Task Learning
por: Sheng, Juyi, et al.
Publicado: (2025)

MambaNUT: Nighttime UAV Tracking via Mamba-based Adaptive Curriculum Learning
por: Wu, You, et al.
Publicado: (2024)

TSdetector: Temporal-Spatial Self-correction Collaborative Learning for Colonoscopy Video Detection
por: Wang, Kaini, et al.
Publicado: (2024)

Enhance Multi-Scale Spatial-Temporal Coherence for Configurable Video Anomaly Detection
por: Cheng, Kai, et al.
Publicado: (2023)

Spatial Decomposition and Temporal Fusion based Inter Prediction for Learned Video Compression
por: Sheng, Xihua, et al.
Publicado: (2024)

Online Video Quality Enhancement with Spatial-Temporal Look-up Tables
por: Qu, Zefan, et al.
Publicado: (2023)

Spatial-Temporal Graph Mamba for Music-Guided Dance Video Synthesis
por: Tang, Hao, et al.
Publicado: (2025)

Motion Semantics Guided Normalizing Flow for Privacy-Preserving Video Anomaly Detection
por: Liu, Yang, et al.
Publicado: (2026)

Hybrid Architecture for Real-Time Video Anomaly Detection: Integrating Spatial and Temporal Analysis
por: Poirier, Fabien
Publicado: (2024)

SMamba: Sparse Mamba for Event-based Object Detection
por: Yang, Nan, et al.
Publicado: (2025)

Learn Suspected Anomalies from Event Prompts for Video Anomaly Detection
por: Tao, Chenchen, et al.
Publicado: (2024)

Temporal-Conditioned Normalizing Flows for Multivariate Time Series Anomaly Detection
por: Baumgartner, David, et al.
Publicado: (2026)

Noise Fusion-based Distillation Learning for Anomaly Detection in Complex Industrial Environments
por: Yu, Jiawen, et al.
Publicado: (2025)

Normality Calibration in Semi-supervised Graph Anomaly Detection
por: Zeng, Guolei, et al.
Publicado: (2025)

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

Multi-Normal Prototypes Learning for Weakly Supervised Anomaly Detection
por: Dong, Zhijin, et al.
Publicado: (2024)

Learning Prompt-Enhanced Context Features for Weakly-Supervised Video Anomaly Detection
por: Pu, Yujiang, et al.
Publicado: (2023)

Pyramid-based Mamba Multi-class Unsupervised Anomaly Detection
por: Iqbal, Nasar, et al.
Publicado: (2025)

MDDFNet: Mamba-based Dynamic Dual Fusion Network for Traffic Sign Detection
por: Yu, TianYi
Publicado: (2025)

VideoPatchCore: An Effective Method to Memorize Normality for Video Anomaly Detection
por: Ahn, Sunghyun, et al.
Publicado: (2024)

Isolation-based Spherical Ensemble Representations for Anomaly Detection
por: Cao, Yang, et al.
Publicado: (2025)

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

Rethinking Metrics and Benchmarks of Video Anomaly Detection
por: Liu, Zihao, et al.
Publicado: (2025)

Weakly Supervised Video Anomaly Detection with Anomaly-Connected Components and Intention Reasoning
por: Wang, Yu, et al.
Publicado: (2026)

MLVTG: Mamba-Based Feature Alignment and LLM-Driven Purification for Multi-Modal Video Temporal Grounding
por: Zhu, Zhiyi, et al.
Publicado: (2025)

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