Cerberus: Real-Time Video Anomaly Detection via Cascaded Vision-Language Models
Fuente:
arXiv
Saved in:
| Main Authors: | Zheng, Yue, Shi, Xiufang, Chen, Jiming, Shu, Yuanchao |
|---|---|
| Format: | Preprint |
| Published: |
2025
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
PointAD: Comprehending 3D Anomalies from Points and Pixels for Zero-shot 3D Anomaly Detection
by: Zhou, Qihang, et al.
Published: (2024)
by: Zhou, Qihang, et al.
Published: (2024)
Enhancing Fine-Grained Image Classifications via Cascaded Vision Language Models
by: Wei, Canshi
Published: (2024)
by: Wei, Canshi
Published: (2024)
HazardNet: A Small-Scale Vision Language Model for Real-Time Traffic Safety Detection at Edge Devices
by: Tami, Mohammad Abu, et al.
Published: (2025)
by: Tami, Mohammad Abu, et al.
Published: (2025)
AquaFusionNet: Lightweight VisionSensor Fusion Framework for Real-Time Pathogen Detection and Water Quality Anomaly Prediction on Edge Devices
by: Kristanto, Sepyan Purnama, et al.
Published: (2025)
by: Kristanto, Sepyan Purnama, et al.
Published: (2025)
ViSpec: Accelerating Vision-Language Models with Vision-Aware Speculative Decoding
by: Kang, Jialiang, et al.
Published: (2025)
by: Kang, Jialiang, et al.
Published: (2025)
Language Models Meet Anomaly Detection for Better Interpretability and Generalizability
by: Li, Jun, et al.
Published: (2024)
by: Li, Jun, et al.
Published: (2024)
Inference Compute-Optimal Video Vision Language Models
by: Wang, Peiqi, et al.
Published: (2025)
by: Wang, Peiqi, et al.
Published: (2025)
A Unified Hallucination Mitigation Framework for Large Vision-Language Models
by: Chang, Yue, et al.
Published: (2024)
by: Chang, Yue, et al.
Published: (2024)
Speak While Watching: Unleashing TRUE Real-Time Video Understanding Capability of Multimodal Large Language Models
by: Lin, Junyan, et al.
Published: (2026)
by: Lin, Junyan, et al.
Published: (2026)
Multimodal Abstractive Summarization of Instructional Videos with Vision-Language Models
by: Nazir, Maham, et al.
Published: (2026)
by: Nazir, Maham, et al.
Published: (2026)
An Explainable Biomedical Foundation Model via Large-Scale Concept-Enhanced Vision-Language Pre-training
by: Nie, Yuxiang, et al.
Published: (2025)
by: Nie, Yuxiang, et al.
Published: (2025)
Unlocking Vision-Language Models for Video Anomaly Detection via Fine-Grained Prompting
by: Zou, Shu, et al.
Published: (2025)
by: Zou, Shu, et al.
Published: (2025)
Towards Zero-Shot Anomaly Detection and Reasoning with Multimodal Large Language Models
by: Xu, Jiacong, et al.
Published: (2025)
by: Xu, Jiacong, et al.
Published: (2025)
Customizing Visual-Language Foundation Models for Multi-modal Anomaly Detection and Reasoning
by: Xu, Xiaohao, et al.
Published: (2024)
by: Xu, Xiaohao, et al.
Published: (2024)
Vision-centric Token Compression in Large Language Model
by: Xing, Ling, et al.
Published: (2025)
by: Xing, Ling, et al.
Published: (2025)
Can Large Vision-Language Models Understand Multimodal Sarcasm?
by: Wang, Xinyu, et al.
Published: (2025)
by: Wang, Xinyu, et al.
Published: (2025)
ReVisionLLM: Recursive Vision-Language Model for Temporal Grounding in Hour-Long Videos
by: Hannan, Tanveer, et al.
Published: (2024)
by: Hannan, Tanveer, et al.
Published: (2024)
Evaluating Vision-Language Models as Evaluators in Path Planning
by: Aghzal, Mohamed, et al.
Published: (2024)
by: Aghzal, Mohamed, et al.
Published: (2024)
Vision-Language Models Assisted Unsupervised Video Anomaly Detection
by: Jiang, Yalong, et al.
Published: (2024)
by: Jiang, Yalong, et al.
Published: (2024)
Time-R1: Post-Training Large Vision Language Model for Temporal Video Grounding
by: Wang, Ye, et al.
Published: (2025)
by: Wang, Ye, et al.
Published: (2025)
MSR-Align: Policy-Grounded Multimodal Alignment for Safety-Aware Reasoning in Vision-Language Models
by: Xia, Yinan, et al.
Published: (2025)
by: Xia, Yinan, et al.
Published: (2025)
IdealGPT: Iteratively Decomposing Vision and Language Reasoning via Large Language Models
by: You, Haoxuan, et al.
Published: (2023)
by: You, Haoxuan, et al.
Published: (2023)
Addressing Overthinking in Large Vision-Language Models via Gated Perception-Reasoning Optimization
by: Diao, Xingjian, et al.
Published: (2026)
by: Diao, Xingjian, et al.
Published: (2026)
Vision Language Models Map Logos to Text via Semantic Entanglement in the Visual Projector
by: Li, Sifan, et al.
Published: (2025)
by: Li, Sifan, et al.
Published: (2025)
Chartographer: Counterfactual Chart Generation for Evaluating Vision-Language Models
by: Jiang, Yifan, et al.
Published: (2026)
by: Jiang, Yifan, et al.
Published: (2026)
VLP: A Survey on Vision-Language Pre-training
by: Chen, Feilong, et al.
Published: (2022)
by: Chen, Feilong, et al.
Published: (2022)
Empowering Large Language Model for Continual Video Question Answering with Collaborative Prompting
by: Cai, Chen, et al.
Published: (2024)
by: Cai, Chen, et al.
Published: (2024)
AnomalyCLIP: Object-agnostic Prompt Learning for Zero-shot Anomaly Detection
by: Zhou, Qihang, et al.
Published: (2023)
by: Zhou, Qihang, et al.
Published: (2023)
VLMs Need Words: Vision Language Models Ignore Visual Detail In Favor of Semantic Anchors
by: Shahgir, Haz Sameen, et al.
Published: (2026)
by: Shahgir, Haz Sameen, et al.
Published: (2026)
Large Vision-Language Model Alignment and Misalignment: A Survey Through the Lens of Explainability
by: Shu, Dong, et al.
Published: (2025)
by: Shu, Dong, et al.
Published: (2025)
TTL: Test-time Textual Learning for OOD Detection with Pretrained Vision-Language Models
by: Ye, Jinlun, et al.
Published: (2026)
by: Ye, Jinlun, et al.
Published: (2026)
AVA: Towards Agentic Video Analytics with Vision Language Models
by: Yan, Yuxuan, et al.
Published: (2025)
by: Yan, Yuxuan, et al.
Published: (2025)
TimeViper: A Hybrid Mamba-Transformer Vision-Language Model for Efficient Long Video Understanding
by: Xu, Boshen, et al.
Published: (2025)
by: Xu, Boshen, et al.
Published: (2025)
PUMGPT: A Large Vision-Language Model for Product Understanding
by: Xue, Wei, et al.
Published: (2023)
by: Xue, Wei, et al.
Published: (2023)
Video Anomaly Detection and Explanation via Large Language Models
by: Lv, Hui, et al.
Published: (2024)
by: Lv, Hui, et al.
Published: (2024)
STORM: Internalized Modeling for Spatial-Temporal Reasoning in Video-Language Models
by: Liang, Yiming, et al.
Published: (2026)
by: Liang, Yiming, et al.
Published: (2026)
IllusionVQA: A Challenging Optical Illusion Dataset for Vision Language Models
by: Shahgir, Haz Sameen, et al.
Published: (2024)
by: Shahgir, Haz Sameen, et al.
Published: (2024)
Fine-Grained Evaluation of Large Vision-Language Models in Autonomous Driving
by: Li, Yue, et al.
Published: (2025)
by: Li, Yue, et al.
Published: (2025)
How Does Vision-Language Adaptation Impact the Safety of Vision Language Models?
by: Lee, Seongyun, et al.
Published: (2024)
by: Lee, Seongyun, et al.
Published: (2024)
Pseudo-Prompt Generating in Pre-trained Vision-Language Models for Multi-Label Medical Image Classification
by: Ye, Yaoqin, et al.
Published: (2024)
by: Ye, Yaoqin, et al.
Published: (2024)
Similar Items
-
PointAD: Comprehending 3D Anomalies from Points and Pixels for Zero-shot 3D Anomaly Detection
by: Zhou, Qihang, et al.
Published: (2024) -
Enhancing Fine-Grained Image Classifications via Cascaded Vision Language Models
by: Wei, Canshi
Published: (2024) -
HazardNet: A Small-Scale Vision Language Model for Real-Time Traffic Safety Detection at Edge Devices
by: Tami, Mohammad Abu, et al.
Published: (2025) -
AquaFusionNet: Lightweight VisionSensor Fusion Framework for Real-Time Pathogen Detection and Water Quality Anomaly Prediction on Edge Devices
by: Kristanto, Sepyan Purnama, et al.
Published: (2025) -
ViSpec: Accelerating Vision-Language Models with Vision-Aware Speculative Decoding
by: Kang, Jialiang, et al.
Published: (2025)