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fix more comma errors
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lukas-heilgenbrunner
2025-01-29 12:08:23 +01:00
parent af58cda976
commit fbdb9b166b
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experimentalresults.typ
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@ -14,7 +14,7 @@ Both are trained with samples from the 'good' class only.
So there is a clear performance gap between Few-Shot learning and the state of the art anomaly detection algorithms.
In the @comparison2way Patchcore and EfficientAD are not included as they aren't directly compareable in the same fashion.
That means if the goal is just to detect anomalies, Few-Shot learning is not the best choice and Patchcore or EfficientAD should be used.
That means if the goal is just to detect anomalies, Few-Shot learning is not the best choice, and Patchcore or EfficientAD should be used.
#subpar.grid(
figure(image("rsc/comparison-2way-bottle.png"), caption: [
@ -97,7 +97,7 @@ One could use a well established algorithm like PatchCore or EfficientAD for det
8-Way - Cable class
]), <comparisonfaultyonlycable>,
columns: (1fr, 1fr),
caption: [Nomaly class only classification performance],
caption: [Anomaly class only classification performance],
label: <comparisonnormal>,
)