Кузьменко, ДмитроЮрченко, Артур2025-09-042025-09-042025https://ekmair.ukma.edu.ua/handle/123456789/36430This research aims to evaluate performance of Kolmogorov-Arnold networks (KAN) in image embedding tasks. It focuses on modifying existing state-of-the-art architectures - CNN and ViT, replacing their MLP segments with KANs, aiming to improve their computational performance and embedding quality. Training and evaluation methodology is fully described in sections 4 and 5.en-USKolmogorov-Arnold networksComputer VisionEmbeddingConvolutional neural networksVision TransformersEncodersClassificationRegressionRetrievalInterpretabilitybachelor`s thesisOther