Datasets › VisA › Papers where code ran, page 1
VisA (Visual Anomaly Dataset)
Papers archive 2025-07-28
papers with a benchmark row: 41 · with a code link: 40 · where Syntology ran a sample: 23 (21 with a run with no instrument failure, 2 where every run was a failure of Syntology's instrument) Syntology
Show:
all papers with a benchmark row only where code ran (23 of 41 with a benchmark row: 21 with a run with no instrument failure, 2 where every run was a failure of Syntology's instrument)
Syntology We ran code from the paper's repository; we did not run it on this dataset or check it against this dataset's benchmarks.
Page 1 of 1: papers 1 to 23 of the 23 papers with a benchmark row here where Syntology ran at least one harvested sample (21 with a run with no instrument failure, 2 where every run was a failure of Syntology's instrument), newest first by the archive's date (ties by arXiv id). This is a filter on Syntology's record ordered by date only, not a ranking; a run is not a correctness claim. A paper missing from this list is not a recorded non-run: it may have no arXiv id, no harvested code, or only samples that have not run yet.
A run counts when it is a run with no instrument failure any run, instrument failures included The first hides, in your browser, the papers where every run was a failure of Syntology's instrument; the second shows every paper on this page.
The archive's own "papers using this dataset" list was never published, so this is the benchmark-backed subset, not that list; the archive's count for this dataset is 86. The Syntology column is from Syntology's graph, stated per sample; it is not part of any archive number. A line reads “N ran (of which C constructed an object rather than computing a result; K with no instrument failure: H honoured, V violated, P with no contract checked; I where Syntology's instrument failed) · U unverified” (C is a part of N, never taken away from it); the figure “where Syntology's instrument failed” counts failures of Syntology's instrument, not of the code. “Ran” means the sample executed on a synthesized fixture, not that the paper's result was reproduced. When the archive marks a repository official for the paper, the cell starts with that repository's state (the archive's flag, not a verdict on who wrote the code; “community repositories only” when every sample that ran came from a community repository, “official: no sample here; runs from other or unrecorded repositories” when some came from a repository the paper names or has in its text, or from none recorded); hover it for the repositories the samples that ran came from. Syntology's record for this page has not changed since 2026-09-28 , the first build that kept a record date for it; when this build read Syntology's graph is in the build record .
Paper Code Results Date Samples run Syntology
Exploring Intrinsic Normal Prototypes within a Single Image for Universal Anomaly Detection
2
1
4 Mar 2025
official (archive's flag): 1 ran · 4 ran (of which 1 constructed an object rather than computing a result; 1 with no instrument failure: 0 honoured, 0 violated, 1 with no contract checked; 3 where Syntology's instrument failed) · 1 unverified (3 pointer-only for licence )
AdaCLIP: Adapting CLIP with Hybrid Learnable Prompts for Zero-Shot Anomaly Detection
1
1
22 Jul 2024
official (archive's flag): 20 ran · 20 ran (of which 10 constructed an object rather than computing a result; 16 with no instrument failure: 0 honoured, 1 violated, 15 with no contract checked; 4 where Syntology's instrument failed) · 8 unverified (4 pointer-only for licence )
A Unified Anomaly Synthesis Strategy with Gradient Ascent for Industrial Anomaly Detection and Localization
2
1
12 Jul 2024
official (archive's flag): 6 ran · 6 ran (of which 0 constructed an object rather than computing a result; 6 with no instrument failure: 0 honoured, 0 violated, 6 with no contract checked; 0 where Syntology's instrument failed) · 2 unverified (1 pointer-only for licence )
GLAD: Towards Better Reconstruction with Global and Local Adaptive Diffusion Models for Unsupervised Anomaly Detection
1
1
11 Jun 2024
official (archive's flag): 13 ran · 13 ran (of which 0 constructed an object rather than computing a result; 10 with no instrument failure: 2 honoured, 0 violated, 8 with no contract checked; 3 where Syntology's instrument failed) · 2 unverified (8 pointer-only for licence )
Dinomaly: The Less Is More Philosophy in Multi-Class Unsupervised Anomaly Detection
2
1
23 May 2024
official (archive's flag): 9 ran · 9 ran (of which 0 constructed an object rather than computing a result; 4 with no instrument failure: 1 honoured, 0 violated, 3 with no contract checked; 5 where Syntology's instrument failed) · 1 unverified (5 pointer-only for licence )
AnomalyDINO: Boosting Patch-based Few-shot Anomaly Detection with DINOv2
1
4
23 May 2024
official (archive's flag): 9 ran · 9 ran (of which 0 constructed an object rather than computing a result; 9 with no instrument failure: 0 honoured, 0 violated, 9 with no contract checked; 0 where Syntology's instrument failed) · 3 unverified
RealNet: A Feature Selection Network with Realistic Synthetic Anomaly for Anomaly Detection
1
1
9 Mar 2024
official (archive's flag): 10 ran · 10 ran (of which 0 constructed an object rather than computing a result; 10 with no instrument failure: 0 honoured, 0 violated, 10 with no contract checked; 0 where Syntology's instrument failed) · 0 unverified (1 pointer-only for licence )
MuSc: Zero-Shot Industrial Anomaly Classification and Segmentation with Mutual Scoring of the Unlabeled Images
1
1
30 Jan 2024
official (archive's flag): 1 ran · 1 ran (of which 0 constructed an object rather than computing a result; 0 with no instrument failure: 0 honoured, 0 violated, 0 with no contract checked; 1 where Syntology's instrument failed) · 0 unverified
TransFusion -- A Transparency-Based Diffusion Model for Anomaly Detection
1
1
16 Nov 2023
official (archive's flag): 1 ran · 1 ran (of which 0 constructed an object rather than computing a result; 0 with no instrument failure: 0 honoured, 0 violated, 0 with no contract checked; 1 where Syntology's instrument failed) · 0 unverified
AnomalyCLIP: Object-agnostic Prompt Learning for Zero-shot Anomaly Detection
3
1
29 Oct 2023
official (archive's flag): 12 ran · 19 ran (of which 0 constructed an object rather than computing a result; 14 with no instrument failure: 1 honoured, 1 violated, 12 with no contract checked; 5 where Syntology's instrument failed) · 13 unverified (15 pointer-only for licence )
APRIL-GAN: A Zero-/Few-Shot Anomaly Classification and Segmentation Method for CVPR 2023 VAND Workshop Challenge Tracks 1&2: 1st Place on Zero-shot AD and 4th Place on Few-shot AD
2
2
27 May 2023
official (archive's flag): 6 ran · 6 ran (of which 0 constructed an object rather than computing a result; 4 with no instrument failure: 0 honoured, 1 violated, 3 with no contract checked; 2 where Syntology's instrument failed) · 4 unverified (7 pointer-only for licence )
Segment Any Anomaly without Training via Hybrid Prompt Regularization
2
1
18 May 2023
official (archive's flag): 5 ran · 5 ran (of which 0 constructed an object rather than computing a result; 2 with no instrument failure: 0 honoured, 0 violated, 2 with no contract checked; 3 where Syntology's instrument failed) · 4 unverified (5 pointer-only for licence )
WinCLIP: Zero-/Few-Shot Anomaly Classification and Segmentation
4
4
26 Mar 2023
7 ran (of which 0 constructed an object rather than computing a result; 6 with no instrument failure: 1 honoured, 2 violated, 3 with no contract checked; 1 where Syntology's instrument failed) · 5 unverified (6 pointer-only for licence )
EfficientAD: Accurate Visual Anomaly Detection at Millisecond-Level Latencies
33
2
25 Mar 2023
29 ran (of which 0 constructed an object rather than computing a result; 29 with no instrument failure: 0 honoured, 0 violated, 29 with no contract checked; 0 where Syntology's instrument failed) · 6 unverified
SPot-the-Difference Self-Supervised Pre-training for Anomaly Detection and Segmentation
1
1
28 Jul 2022
2 ran (of which 0 constructed an object rather than computing a result; 2 with no instrument failure: 0 honoured, 0 violated, 2 with no contract checked; 0 where Syntology's instrument failed) · 0 unverified
Anomaly Detection via Reverse Distillation from One-Class Embedding
5
1
26 Jan 2022
official (archive's flag): 2 ran · 14 ran (of which 8 constructed an object rather than computing a result; 10 with no instrument failure: 0 honoured, 0 violated, 10 with no contract checked; 4 where Syntology's instrument failed) · 4 unverified (15 pointer-only for licence )
FastFlow: Unsupervised Anomaly Detection and Localization via 2D Normalizing Flows
5
1
15 Nov 2021
5 ran (of which 0 constructed an object rather than computing a result; 5 with no instrument failure: 0 honoured, 0 violated, 5 with no contract checked; 0 where Syntology's instrument failed) · 1 unverified
DRAEM -- A discriminatively trained reconstruction embedding for surface anomaly detection
3
1
17 Aug 2021
official (archive's flag): 7 ran · 7 ran (of which 0 constructed an object rather than computing a result; 7 with no instrument failure: 2 honoured, 0 violated, 5 with no contract checked; 0 where Syntology's instrument failed) · 0 unverified (6 pointer-only for licence )
CFLOW-AD: Real-Time Unsupervised Anomaly Detection with Localization via Conditional Normalizing Flows
3
1
27 Jul 2021
official (archive's flag): 11 ran · 11 ran (of which 0 constructed an object rather than computing a result; 10 with no instrument failure: 1 honoured, 0 violated, 9 with no contract checked; 1 where Syntology's instrument failed) · 1 unverified (3 pointer-only for licence )
PaDiM: a Patch Distribution Modeling Framework for Anomaly Detection and Localization
26
1
17 Nov 2020
7 ran (of which 0 constructed an object rather than computing a result; 2 with no instrument failure: 1 honoured, 1 violated, 0 with no contract checked; 5 where Syntology's instrument failed) · 0 unverified (3 pointer-only for licence )
Anomaly localization by modeling perceptual features
1
1
12 Aug 2020
6 ran (of which 0 constructed an object rather than computing a result; 6 with no instrument failure: 1 honoured, 0 violated, 5 with no contract checked; 0 where Syntology's instrument failed) · 1 unverified (1 pointer-only for licence )
Sub-Image Anomaly Detection with Deep Pyramid Correspondences
5
1
5 May 2020
3 ran (of which 0 constructed an object rather than computing a result; 3 with no instrument failure: 0 honoured, 0 violated, 3 with no contract checked; 0 where Syntology's instrument failed) · 0 unverified
Uninformed Students: Student-Teacher Anomaly Detection with Discriminative Latent Embeddings
3
1
6 Nov 2019
8 ran (of which 0 constructed an object rather than computing a result; 2 with no instrument failure: 1 honoured, 1 violated, 0 with no contract checked; 6 where Syntology's instrument failed) · 0 unverified (3 pointer-only for licence )