Imagen de Portada

Video Anomaly Detection with Semantics-Aware Information Bottleneck

Fuente: arXiv

Guardado en:

Detalles Bibliográficos
Autores principales:	Li, Juntong, Dang, Lingwei, Xiao, Qingxin, Shang, Shishuo, Cheng, Jiajia, Wu, Haomin, Hao, Yun, Wu, Qingyao
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

Not Blind but Silenced: Rebalancing Vision and Language via Adversarial Counter-Commonsense Equilibrium
por: Xiao, Qingxin, et al.
Publicado: (2026)

SyncMV4D: Synchronized Multi-view Joint Diffusion of Appearance and Motion for Hand-Object Interaction Synthesis
por: Dang, Lingwei, et al.
Publicado: (2025)

SViMo: Synchronized Diffusion for Video and Motion Generation in Hand-object Interaction Scenarios
por: Dang, Lingwei, et al.
Publicado: (2025)

Rebalancing Contrastive Alignment with Bottlenecked Semantic Increments in Text-Video Retrieval
por: Xiao, Jian, et al.
Publicado: (2025)

No Need For Real Anomaly: MLLM Empowered Zero-Shot Video Anomaly Detection
por: Dai, Zunkai, et al.
Publicado: (2026)

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

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

A Dual-Branch Framework for Semantic Change Detection with Boundary and Temporal Awareness
por: Li, Yun-Cheng, et al.
Publicado: (2026)

VADER: Towards Causal Video Anomaly Understanding with Relation-Aware Large Language Models
por: Cheng, Ying, et al.
Publicado: (2025)

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

SALAD -- Semantics-Aware Logical Anomaly Detection
por: Fučka, Matic, et al.
Publicado: (2025)

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

Language-guided Open-world Video Anomaly Detection under Weak Supervision
por: Liu, Zihao, et al.
Publicado: (2025)

Spatial-Semantic Collaborative Cropping for User Generated Content
por: Su, Yukun, et al.
Publicado: (2024)

Towards an Incremental Unified Multimodal Anomaly Detection: Augmenting Multimodal Denoising From an Information Bottleneck Perspective
por: Long, Kaifang, et al.
Publicado: (2026)

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

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

Towards Efficient Pixel Labeling for Industrial Anomaly Detection and Localization
por: Li, Hanxi, et al.
Publicado: (2024)

Hybrid Classification-Regression Adaptive Loss for Dense Object Detection
por: Huang, Yanquan, et al.
Publicado: (2024)

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

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

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

Modality-Aware Shot Relating and Comparing for Video Scene Detection
por: Tan, Jiawei, et al.
Publicado: (2024)

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

FrameOracle: Learning What to See and How Much to See in Videos
por: Li, Chaoyu, et al.
Publicado: (2025)

Decoupling Spatio-Temporal Adapter for Fine-Grained Badminton Action Localization
por: Wang, Tianyu, et al.
Publicado: (2026)

Industrial Anomaly Detection and Localization Using Weakly-Supervised Residual Transformers
por: Li, Hanxi, et al.
Publicado: (2023)

Dual Semantic-Aware Network for Noise Suppressed Ultrasound Video Segmentation
por: Zhou, Ling, et al.
Publicado: (2025)

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

Learning to Tell Apart: Weakly Supervised Video Anomaly Detection via Disentangled Semantic Alignment
por: Yin, Wenti, et al.
Publicado: (2025)

DeCo: Decoupled Human-Centered Diffusion Video Editing with Motion Consistency
por: Zhong, Xiaojing, et al.
Publicado: (2024)

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

Scale-Aware Contrastive Reverse Distillation for Unsupervised Medical Anomaly Detection
por: Li, Chunlei, et al.
Publicado: (2025)

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

InfoBFR: Real-World Blind Face Restoration via Information Bottleneck
por: Gao, Nan, et al.
Publicado: (2025)

Hawk: Learning to Understand Open-World Video Anomalies
por: Tang, Jiaqi, et al.
Publicado: (2024)

RefineVAD: Semantic-Guided Feature Recalibration for Weakly Supervised Video Anomaly Detection
por: Lee, Junhee, et al.
Publicado: (2025)

Explainable Visual Anomaly Detection via Concept Bottleneck Models
por: Stropeni, Arianna, et al.
Publicado: (2025)

Cell Variational Information Bottleneck Network
por: Zhai, Zhonghua, et al.
Publicado: (2024)

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