Imagen de Portada

VADTree: Explainable Training-Free Video Anomaly Detection via Hierarchical Granularity-Aware Tree

Fuente: arXiv

Guardado en:

Detalles Bibliográficos
Autores principales:	Li, Wenlong, Xu, Yifei, Rao, Yuan, Wang, Zhenhua, Deng, Shuiguang
Formato:	Preprint
Publicado:	2025
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

EventVAD: Training-Free Event-Aware Video Anomaly Detection
por: Shao, Yihua, et al.
Publicado: (2025)

Geometry-Aware Semantic Reasoning for Training Free Video Anomaly Detection
por: Zia, Ali, et al.
Publicado: (2026)

SphereVAD: Training-Free Video Anomaly Detection via Geodesic Inference on the Unit Hypersphere
por: Huang, Chao, et al.
Publicado: (2026)

LATERN: Test-Time Context-Aware Explainable Video Anomaly Detection
por: Piehl, Mitchell, et al.
Publicado: (2026)

Track Any Anomalous Object: A Granular Video Anomaly Detection Pipeline
por: Huang, Yuzhi, et al.
Publicado: (2025)

Holmes-VAD: Towards Unbiased and Explainable Video Anomaly Detection via Multi-modal LLM
por: Zhang, Huaxin, et al.
Publicado: (2024)

StructCore: Structure-Aware Image-Level Scoring for Training-Free Unsupervised Anomaly Detection
por: Chae, Joongwon, et al.
Publicado: (2026)

CADRef: Robust Out-of-Distribution Detection via Class-Aware Decoupled Relative Feature Leveraging
por: Ling, Zhiwei, et al.
Publicado: (2025)

Instance-Aligned Captions for Explainable Video Anomaly Detection
por: Song, Inpyo, et al.
Publicado: (2026)

Holmes-VAU: Towards Long-term Video Anomaly Understanding at Any Granularity
por: Zhang, Huaxin, et al.
Publicado: (2024)

Boosting Global-Local Feature Matching via Anomaly Synthesis for Multi-Class Point Cloud Anomaly Detection
por: Cheng, Yuqi, et al.
Publicado: (2025)

GAPNet: A Lightweight Framework for Image and Video Salient Object Detection via Granularity-Aware Paradigm
por: Wu, Yu-Huan, et al.
Publicado: (2025)

SPIN: Hierarchical Segmentation with Subpart Granularity in Natural Images
por: Myers-Dean, Josh, et al.
Publicado: (2024)

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

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

Hypergraph-Enhanced Training-Free and Language-Free Few-Shot Anomaly Detection
por: Xie, Guohuan, et al.
Publicado: (2026)

QVAD: A Question-Centric Agentic Framework for Efficient and Training-Free Video Anomaly Detection
por: Bekit, Lokman, et al.
Publicado: (2026)

Perceive, Verify and Understand Long Video: Multi-Granular Perception and Active Verification via Interactive Agents
por: Li, Jiahua, et al.
Publicado: (2025)

Towards Explainable Industrial Anomaly Detection via Knowledge-Guided Latent Reasoning
por: Chen, Peng, et al.
Publicado: (2026)

Knowledge-Guided Textual Reasoning for Explainable Video Anomaly Detection via LLMs
por: Lee, Hari
Publicado: (2025)

Injecting Explainability and Lightweight Design into Weakly Supervised Video Anomaly Detection Systems
por: Jiang, Wen-Dong, et al.
Publicado: (2024)

One-to-More: High-Fidelity Training-Free Anomaly Generation with Attention Control
por: Rao, Haoxiang, et al.
Publicado: (2026)

Advancing Narrative Long Video Generation via Training-Free Identity-Aware Memory
por: Liu, Jinzhuo, et al.
Publicado: (2026)

Harnessing Large Language Models for Training-free Video Anomaly Detection
por: Zanella, Luca, et al.
Publicado: (2024)

AnomalyAgent: Training-Free Agentic Models for Zero-/Few-Shot Anomaly Detection
por: Zhang, Yi, et al.
Publicado: (2026)

Leveraging Multimodal LLM Descriptions of Activity for Explainable Semi-Supervised Video Anomaly Detection
por: Mumcu, Furkan, et al.
Publicado: (2025)

VisualAD: Language-Free Zero-Shot Anomaly Detection via Vision Transformer
por: Hou, Yanning, et al.
Publicado: (2026)

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

Video-QTR: Query-Driven Temporal Reasoning Framework for Lightweight Video Understanding
por: Zhao, Xinkui, et al.
Publicado: (2025)

HeadHunt-VAD: Hunting Robust Anomaly-Sensitive Heads in MLLM for Tuning-Free Video Anomaly Detection
por: Cai, Zhaolin, et al.
Publicado: (2025)

Frequency-Guided Diffusion Model with Perturbation Training for Skeleton-Based Video Anomaly Detection
por: Tan, Xiaofeng, et al.
Publicado: (2024)

Is Training Necessary for Anomaly Detection?
por: Zhang, Xingwu, et al.
Publicado: (2026)

Multi-Granular Spatio-Temporal Token Merging for Training-Free Acceleration of Video LLMs
por: Hyun, Jeongseok, et al.
Publicado: (2025)

Learning Streaming Video Representation via Multitask Training
por: Yan, Yibin, et al.
Publicado: (2025)

CoReVAD: A Contextual Reasoning Framework for Training-Free Video Anomaly Detection
por: Lim, Hyeongmuk, et al.
Publicado: (2026)

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

SocialDirector: Training-Free Social Interaction Control for Multi-Person Video Generation
por: Ouyang, Liangyang, et al.
Publicado: (2026)

FreeSpec: Training-Free Long Video Generation via Singular-Spectrum Reconstruction
por: Chen, Fangda, et al.
Publicado: (2026)

Explainable Deep Convolutional Multi-Type Anomaly Detection
por: George, Alex, et al.
Publicado: (2025)

Hierarchical Granularity Alignment and State Space Modeling for Robust Multimodal AU Detection in the Wild
por: Yu, Jun, et al.
Publicado: (2026)