TAU-Agent: An Agentic Retrieval-Augmented Framework for Traffic Anomaly Understanding
cs.CV, cs.AI
Submitted: 2026-08-26
Updated: 2026-08-26
Code: https://github.com/siri-rouser/TAU-Agent
License: http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Terminology
Sources
- Vad-R1: Towards Video Anomaly Reasoning via Perception-to-Cognition Chain-of-Thought
- Ultralytics YOLO26: Unified Real-Time End-to-End Vision Models
- VideoMultiAgents: A Multi-Agent Framework for Video Question Answering
- Video-LLaVA: Learning United Visual Representation by Alignment Before Projection
- TAU-R1: Visual Language Model for Traffic Anomaly Understanding
- Video Anomaly Detection and Explanation via Large Language Models
- Gemini: A Family of Highly Capable Multimodal Models
- VideoChat-A1: Thinking with Long Videos by Chain-of-Shot Reasoning
- Qwen3 Technical Report
- Holmes-VAD: Towards Unbiased and Explainable Video Anomaly Detection via Multi-modal LLM
- VideoAgent2: Enhancing the LLM-Based Agent System for Long-Form Video Understanding by Uncertainty-Aware CoT
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