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Multi-Modal Anomaly Detection: A Survey
Author1, Author2, Author3, Author4, Author5
multimodalanomaly detectionrepresentation learningcross-modal
2608.24937
Builder Relevance
3h ago70%
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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