Unsupervised & Semi-Supervised From survey PDF — verify links
VLAVAD
VLAVAD — Semantic Normality Modeling
BMVC · 2024Human-reviewed summary status
Survey summary
VLAVAD pairs a cross-modal pretrained model with a Selective-Prompt Adapter that selects relevant semantic space, and a Sequence State Space Module that detects temporal inconsistencies in mapped low-dimensional semantic features, enhancing interpretability of unsupervised anomaly detection.
Taxonomy placement
Unsupervised & Semi-Supervised
Unsupervised & Semi-SupervisedSemantic Normality Modeling
Method characteristics
Unsupervised & Semi-SupervisedVLM promptsSelective Prompt AdapterSequence modeling