materialandmethods.typ

@@ -213,7 +213,6 @@ The notebook along with the editor provides a environment for fast prototyping a
 It is widely used in the data science, mathematics and machine learning community.~#cite(<jupyter>)
 
 In the context of this bachelor thesis it was used to test and evaluate the three few-shot learning methods and to compare them.
-Furthermore, Matplotlib was used to create the comparison plots.
 === CNN
 Convolutional neural networks are especially good model architectures for processing images, speech and audio signals.
 A CNN typically consists of Convolutional layers, pooling layers and fully connected layers.
@@ -374,14 +373,11 @@ Its use of frozen pre-trained feature extractors is key to avoiding overfitting
 == Alternative Methods
 
 There are several alternative methods to few-shot learning which are not used in this bachelor thesis.
-Either they performed worse on benchmarks compared to the used methods or they were released after my literature research.
 #todo[Do it!]
 
-=== SgVA-CLIP
 // https://arxiv.org/pdf/2211.16191v2
 // https://arxiv.org/abs/2211.16191v2
 
-=== TRIDENT
 // https://arxiv.org/pdf/2208.10559v1
 // https://arxiv.org/abs/2208.10559v1