:: Library Catalog

Cover Image

Saved in:

Bibliographic Details
Main Authors:	Li, Wenlong, Xu, Yifei, Rao, Yuan, Wang, Zhenhua, Deng, Shuiguang
Format:	Preprint
Published:	2025
Subjects:	Computer Vision and Pattern Recognition
Online Access:	https://arxiv.org/abs/2510.22693
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

Quality-Aware Robust Multi-View Clustering for Heterogeneous Observation Noise
by: Wu, Peihan, et al.
Published: (2026)

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

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

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

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

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

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

VERA: Explainable Video Anomaly Detection via Verbalized Learning of Vision-Language Models
by: Ye, Muchao, et al.
Published: (2024)

AA-CLIP: Enhancing Zero-shot Anomaly Detection via Anomaly-Aware CLIP
by: Ma, Wenxin, et al.
Published: (2025)