Introduction of P02 Sanity Checks For Patch Visualisation In Prototype Based Image Classification
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Vision Transformer
This Looks Like That: Deep Learning for Interpretable Image Recognition (AI Paper Summary)
Prototype Learning for Explainable Brain Age Prediction
Summary Paper: Convolutional Prototype Learning
Learning Image Patch Representation for Scene Recognition
Number-Adaptive Prototype Learning for 3D Point Cloud Semantic Segmentation
Michael Biehl: «Prototype-Based Classifiers and Their Application in the Life Science»
Deformable ProtoPNet: An Interpretable Image Classifier Using Deformable Prototypes
Matching Feature Sets for Few-Shot Image Classification | @CVPR2022 #CVPR2022
Pixel classification with QuPath (epithelium and stroma segmentation with H&E images)
MIB Brief: Generation of patches for deep learning segmentation
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Last Updated: August 23, 2026
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