Supervised Defect Detection
2 papers with code • 1 benchmarks • 1 datasets
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Most implemented papers
Same Same But DifferNet: Semi-Supervised Defect Detection with Normalizing Flows
To achieve a high robustness and performance we exploit multiple transformations in training and evaluation.
DSR -- A dual subspace re-projection network for surface anomaly detection
The state-of-the-art in discriminative unsupervised surface anomaly detection relies on external datasets for synthesizing anomaly-augmented training images.