WALDO reformulates zero-shot anomaly localisation as comparative inference using entropy-weighted Sliced Wasserstein distances for reference selection and Goldilocks zone sampling, achieving 19% relative mAP@30 improvement on the NOVA brain MRI benchmark.
Title resolution pending
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
-
Wasserstein-Aligned Localisation for VLM-Based Distributional OOD Detection in Medical Imaging
WALDO reformulates zero-shot anomaly localisation as comparative inference using entropy-weighted Sliced Wasserstein distances for reference selection and Goldilocks zone sampling, achieving 19% relative mAP@30 improvement on the NOVA brain MRI benchmark.