H2VLR reformulates few-shot anomaly detection as high-order inference on a unified hypergraph of visual and language elements, claiming SOTA results on industrial and medical benchmarks.
Hyper- graph structure learning for hypergraph neural networks
1 Pith paper cite this work. Polarity classification is still indexing.
1
Pith paper citing it
fields
cs.CV 1years
2026 1verdicts
UNVERDICTED 1representative citing papers
citing papers explorer
-
H2VLR: Heterogeneous Hypergraph Vision-Language Reasoning for Few-Shot Anomaly Detection
H2VLR reformulates few-shot anomaly detection as high-order inference on a unified hypergraph of visual and language elements, claiming SOTA results on industrial and medical benchmarks.