license: apache-2.0
pretty_name: VerdictAD decision cache
tags:
- anomaly-detection
- few-shot
- industrial-inspection
- mvtec-ad
- visa
- mvtec-loco
VerdictAD decision cache
Decision-model outputs and reference lists behind every number in VerdictAD: Few-Shot Anomaly Detection via Decision-Guided Refinement (paper, code).
With this cache, evaluate.py reproduces the VerdictAD results on any detector run without running the decision model (Clef-Flash 9B).
Contents
27 runs: MVTec AD, VisA and MVTec LOCO AD × 1/2/4-shot × three reference draws (seeds 42/43/44 for 1- and 2-shot, 42/43/45 for 4-shot); 49,095 test images in total.
refs/<dataset>_k<shots>_s<seed>/refs_<class>.json the k normal references (paths relative to the dataset root)
decisions/<dataset>_k<shots>_s<seed>/<class>.json one record per test image
Each record:
| Field | Meaning |
|---|---|
img_path |
<class>/test/<type>/<file>, relative to the dataset root |
anomaly |
1 for an anomalous test image |
z_free |
GVR logit, query image alone |
z_ref |
GVR logit, query image against the 2×2 reference mosaic |
boxes |
32 windows (x0, y0, x1, y1) in [0, 1]: 16 crop windows, then the same 16 as red boxes |
logits |
LVR logit of each window |
The references come from the official SubspaceAD sampler at the given seed, and every detector in the paper uses them. LOCO paths follow the layout written by tools/prepare_loco.py; VisA paths follow the 1-class split.
Usage
huggingface-cli download sunsean/VerdictAD --repo-type dataset --local-dir verdictad_cache
python evaluate.py <detector_run> verdictad_cache/decisions/mvtec_k4_s42 --subspacead SubspaceAD
<detector_run> is a SubspaceAD run (patched to save maps) or a detectors.py output that uses refs/mvtec_k4_s42.
Citation
@article{sun2026verdictad,
title = {VerdictAD: Few-Shot Anomaly Detection via Decision-Guided Refinement},
author = {Sun, Shangquan and Luo, Wenjun and Wang, Yuanzhi and Li, Ruiqi and Chen, Ruoyu and Liu, Jiachen and Lu, Shijian},
journal = {arXiv preprint arXiv:2611.02654},
year = {2026}
}