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Found 2 papers, 2 papers with code
Mixed supervision for surface-defect detection: from weakly to fully supervised learning
We also show that mixed supervision with only a handful of fully annotated samples added to weakly labelled training images can result in performance comparable to the fully supervised model's performance but at a significantly lower annotation cost.
Ranked #1 on
Defect Detection
on KolektorSDD2
End-to-end training of a two-stage neural network for defect detection
We demonstrate the performance of the end-to-end training scheme and the proposed extensions on three defect detection datasets - DAGM, KolektorSDD and Severstal Steel defect dataset - where we show state-of-the-art results.
Ranked #1 on
Defect Detection
on DAGM2007
(Average Precision metric)
