2024
MambaAD: Exploring State Space Models for Multi-class Unsupervised Anomaly Detection
NeurIPS 2024poster
Recent advancements in anomaly detection have seen the efficacy of CNN- and transformer-based approaches. However, CNNs struggle with long-range dependencies, while transformers are burdened by quadratic computational complexity. Mamba-based models, with their superior long-range modeling and linear…