Fig. 2: Comparison of the proposed algorithm with machine learning models.
From: Material classification method of traditional Chinese painting image based on prototypical network
Comparison of classification accuracy between the proposed algorithm and several machine learning models (Random Forest, SVM, MLP, LightGBM, XGBoost, and RusBoost) using CLIP-extracted features as input. The accuracy is evaluated with varying numbers of training samples.
