Weakly Supervised From survey PDF — verify links
WSVAD-LLMKE
WSVAD-LLMKE — LLM Knowledge Enhancement
ICTAI · 2024Human-reviewed summary status
Survey summary
MIL detection framework that queries large language models for anomaly context-boundary prompts to fix the fuzzy temporal boundaries of binary-labeled anomalies, using Anomaly Temporal Feature Amplification and Anomaly Knowledge Enhancement modules that mutually reinforce each other.
Taxonomy placement
Weakly Supervised
Weakly SupervisedLLM Knowledge Enhancement
Method characteristics
Weakly SupervisedLLM knowledgeEnhancement framework