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experimentalresults.typ

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+= Experimental Results
+
+== Is Few-Shot learning a suitable fit for anomaly detection?
+
+Should Few-Shot learning be used for anomaly detection tasks?
+How does it compare to well established algorithms such as Patchcore or EfficientAD?
+
+== How does disbalancing the Shot number affect performance?
+Does giving the Few-Shot learner more good than bad samples improve the model performance?
+
+== How does the 3 (ResNet, CAML, \pmf) methods perform in only detecting the anomaly class?
+How much does the performance improve if only detecting an anomaly or not?
+How does it compare to PatchCore and EfficientAD?
+
+== Extra: How does Euclidean distance compare to Cosine-similarity when using ResNet as a feature-extractor?