探索无监督学习实现低成本视觉异常检测，新方法兼顾效率与精度。
arXiv:2409.15980v2 Announce Type: replace Abstract: Traditional machine learning-based visual inspection systems require extensive data collection and…
这篇论文提出了模块化后训练框架，将视觉语言模型适配到自动驾驶安全关键事件的异常检测，融合元数据、LLM描述与VQA及CoT推理，提升准确性。
arXiv:2603.18178v2 Announce Type: replace Abstract: The rapid growth of ego-centric dashcam footage presents a major challenge for detecting safety-cr…
提出PaAno方法，用补丁表示学习实现高效时间序列异常检测，兼顾性能与计算资源
arXiv:2602.01359v2 Announce Type: replace-cross Abstract: Although recent studies on time-series anomaly detection have increasingly adopted ever-larg…