Multi-Modal Anomaly Detection: A Survey
cs.LG, cs.AI
Submitted: 2026-08-24
Updated: 2026-08-24
Comments: Accepted for publication in IEEE Transactions on Big Data
License: http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Terminology
Sources
- Foundation Models for Anomaly Detection: Vision and Challenges
- UniMMAD: Unified Multi-Modal and Multi-Class Anomaly Detection via MoE-Driven Feature Decompression
- Anomagic: Crossmodal Prompt-driven Zero-shot Anomaly Generation
- TranAD: Deep Transformer Networks for Anomaly Detection in Multivariate Time Series Data
- Multimodal Anomaly Detection with a Mixture-of-Experts
- Deep Semi-Supervised Anomaly Detection
- RoCA: Robust Contrastive One-class Time Series Anomaly Detection with Contaminated Data
- Multi-Class Deep SVDD: Anomaly Detection Approach in Astronomy with Distinct Inlier Categories
- A Mathematical Optimization Approach to Multisphere Support Vector Data Description
- 2D_3D Feature Fusion via Cross-Modal Latent Synthesis and Attention Guided Restoration for Industrial Anomaly Detection
- FiLo++: Zero-/Few-Shot Anomaly Detection by Fused Fine-Grained Descriptions and Deformable Localization
- Enriching Knowledge Distillation with Cross-Modal Teacher Fusion
- Tuned Reverse Distillation: Enhancing Multimodal Industrial Anomaly Detection with Crossmodal Tuners
- Distilling Cross-Modal Knowledge via Feature Disentanglement
- Commonality in Few: Few-Shot Multimodal Anomaly Detection via Hypergraph-Enhanced Memory
- Multimodal Task Representation Memory Bank vs. Catastrophic Forgetting in Anomaly Detection
- FastRef:Fast Prototype Refinement for Few-Shot Industrial Anomaly Detection
- Outlier-aware Inlier Modeling and Multi-scale Scoring for Anomalous Sound Detection via Multitask Learning
- Extremely Simple Multimodal Outlier Synthesis for Out-of-Distribution Detection and Segmentation
- Taylor Outlier Exposure
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