Papers/2608.24937
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Multi-Modal Anomaly Detection: A Survey

Author1, Author2, Author3, Author4, Author5

multimodalanomaly detectionrepresentation learningcross-modal
2608.24937
Builder Relevance
70%
3h ago

Abstract

This paper surveys Multi-Modal Anomaly Detection (MMAD) from an assumption-driven perspective, identifying core challenges and organizing methods into two paradigms.

Reality Card

Core Claim

The survey formalizes the MMAD problem and organizes prior work into two paradigms based on normality and anomaly assumptions.

Method / Result

Identified five intrinsic characteristics underlying MMAD challenges.

Limitations

The literature is fragmented, making it difficult to reproduce results across different domains and modalities.

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