Search Results for author:
Found 2 papers, 1 papers with code
EfficientAD: Accurate Visual Anomaly Detection at Millisecond-Level Latencies
We train a student network to predict the extracted features of normal, i. e., anomaly-free training images.
Ranked #2 on
Anomaly Detection
on MVTec AD
Computational Efficiency
Semi-supervised Anomaly Detection
+1
Beyond Dents and Scratches: Logical Constraints in Unsupervised Anomaly Detection and Localization
The first one inspects confined regions independent of their spatial locations in the input image and is primarily responsible for the detection of entirely new local structures.
Ranked #13 on
Anomaly Detection
on VisA
