EvoSherlock: Towards Agentic Lifelong Evolution for Unseen Long-Tailed Security-Critical Events in Videos
cs.CR
Submitted: 2026-09-16
Updated: 2026-09-16
Comments: Accepted to ACM Multimedia 2026
License: http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Terminology
Sources
- Invariant Risk Minimization
- Qwen3-VL Technical Report
- Stable Video Diffusion: Scaling Latent Video Diffusion Models to Large Datasets
- Exploring What Why and How: A Multifaceted Benchmark for Causation Understanding of Video Anomaly
- Parameter-Efficient Fine-Tuning for Large Models: A Comprehensive Survey
- Distilling the Knowledge in a Neural Network
- SurveillanceVQA-589K: A Benchmark for Comprehensive Surveillance Video-Language Understanding with Large Models
- Conan: Progressive Learning to Reason Like a Detective over Multi-Scale Visual Evidence
- Wan: Open and Advanced Large-Scale Video Generative Models
- OpenClaw-RL: Train Any Agent Simply by Talking
- Deep Learning for Video Anomaly Detection: A Review
- Holmes-VAD: Towards Unbiased and Explainable Video Anomaly Detection via Multi-modal LLM
- Lifelong Learning of Large Language Model based Agents: A Roadmap
- Memento-Skills: Let Agents Design Agents
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