Imagen de Portada

VADMamba++: Efficient Video Anomaly Detection via Hybrid Modeling in Grayscale Space

Fuente: arXiv

Guardado en:

Detalles Bibliográficos
Autores principales:	Lyu, Jihao, Zhao, Minghua, Hu, Jing, Chen, Yifei, Du, Shuangli, Shi, Cheng
Formato:	Preprint
Publicado:	2026
Materias:	Computer Vision and Pattern Recognition
Acceso en línea:	Acceder al recurso
Etiquetas:	Agregar Etiqueta Sin Etiquetas, Sea el primero en etiquetar este registro!

Ejemplares similares

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

Forward Consistency Learning with Gated Context Aggregation for Video Anomaly Detection
por: Lyu, Jiahao, et al.
Publicado: (2026)

Appearance Blur-driven AutoEncoder and Motion-guided Memory Module for Video Anomaly Detection
por: Lyu, Jiahao, et al.
Publicado: (2024)

Bidirectional skip-frame prediction for video anomaly detection with intra-domain disparity-driven attention
por: Lyu, Jiahao, et al.
Publicado: (2024)

Low-light Stereo Image Enhancement and De-noising in the Low-frequency Information Enhanced Image Space
por: Zhao, Minghua, et al.
Publicado: (2024)

Domain Generalized Stereo Matching with Uncertainty-guided Data Augmentation
por: Du, Shuangli, et al.
Publicado: (2025)

VideoSSM: Autoregressive Long Video Generation with Hybrid State-Space Memory
por: Yu, Yifei, et al.
Publicado: (2025)

Text-guided Fine-Grained Video Anomaly Understanding
por: Gu, Jihao, et al.
Publicado: (2025)

Topo-R1: Detecting Topological Anomalies via Vision-Language Models
por: Xu, Meilong, et al.
Publicado: (2026)

VADTree: Explainable Training-Free Video Anomaly Detection via Hierarchical Granularity-Aware Tree
por: Li, Wenlong, et al.
Publicado: (2025)

Exploring Interactive Semantic Alignment for Efficient HOI Detection with Vision-language Model
por: Dong, Jihao, et al.
Publicado: (2024)

HDM: Hybrid Diffusion Model for Unified Image Anomaly Detection
por: Weng, Zekang, et al.
Publicado: (2025)

Cerberus: Real-Time Video Anomaly Detection via Cascaded Vision-Language Models
por: Zheng, Yue, et al.
Publicado: (2025)

AnomalyHybrid: A Domain-agnostic Generative Framework for General Anomaly Detection
por: Zhao, Ying
Publicado: (2025)

Video Anomaly Detection and Explanation via Large Language Models
por: Lv, Hui, et al.
Publicado: (2024)

Open-Vocabulary Video Anomaly Detection
por: Wu, Peng, et al.
Publicado: (2023)

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

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

ProtoAnomalyNCD: Prototype Learning for Multi-class Novel Anomaly Discovery in Industrial Scenarios
por: Zhao, Botong, et al.
Publicado: (2025)

AssistPDA: An Online Video Surveillance Assistant for Video Anomaly Prediction, Detection, and Analysis
por: Yang, Zhiwei, et al.
Publicado: (2025)

HyCoVAD: A Hybrid SSL-LLM Model for Complex Video Anomaly Detection
por: Hemmatyar, Mohammad Mahdi, et al.
Publicado: (2025)

Hybrid Video Anomaly Detection for Anomalous Scenarios in Autonomous Driving
por: Bogdoll, Daniel, et al.
Publicado: (2024)

ACMamba: Fast Unsupervised Anomaly Detection via An Asymmetrical Consensus State Space Model
por: Wang, Guanchun, et al.
Publicado: (2025)

CRCL: Causal Representation Consistency Learning for Anomaly Detection in Surveillance Videos
por: Liu, Yang, et al.
Publicado: (2025)

MCGA: Mixture of Codebooks Hyperspectral Reconstruction via Grayscale-Aware Attention
por: Yang, Zhanjiang, et al.
Publicado: (2025)

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

Unlocking Vision-Language Models for Video Anomaly Detection via Fine-Grained Prompting
por: Zou, Shu, et al.
Publicado: (2025)

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

Communication-Efficient Multi-Agent 3D Detection via Hybrid Collaboration
por: Hu, Yue, et al.
Publicado: (2025)

MF2Summ: Multimodal Fusion for Video Summarization with Temporal Alignment
por: wang, Shuo, et al.
Publicado: (2025)

Segment Any Anomaly without Training via Hybrid Prompt Regularization
por: Cao, Yunkang, et al.
Publicado: (2023)

PANDA: Towards Generalist Video Anomaly Detection via Agentic AI Engineer
por: Yang, Zhiwei, et al.
Publicado: (2025)

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

Defense against Unauthorized Distillation in Image Restoration via Feature Space Perturbation
por: Hu, Han, et al.
Publicado: (2025)

When Every Millisecond Counts: Real-Time Anomaly Detection via the Multimodal Asynchronous Hybrid Network
por: Xiao, Dong, et al.
Publicado: (2025)

Performance Analysis of Traditional VQA Models Under Limited Computational Resources
por: Gu, Jihao
Publicado: (2025)

Simplifying Traffic Anomaly Detection with Video Foundation Models
por: Orlova, Svetlana, et al.
Publicado: (2025)

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

Video Anomaly Detection with Semantics-Aware Information Bottleneck
por: Li, Juntong, et al.
Publicado: (2025)

Patch Spatio-Temporal Relation Prediction for Video Anomaly Detection
por: Shen, Hao, et al.
Publicado: (2024)