Co-occurring keywords · papers mentioning both
Papers
Interpretability Benchmark for Evaluating Spatial Misalignment of Prototypical Parts Explanations
AAAI 2024
ProtoPFormer: Concentrating on Prototypical Parts in Vision Transformers for Interpretable Image Recognition
IJCAI 2024
Learning to Select Prototypical Parts for Interpretable Sequential Data Modeling
AAAI 2023
PIP-Net: Patch-Based Intuitive Prototypes for Interpretable Image Classification
CVPR 2023
ProtoSeg: Interpretable Semantic Segmentation With Prototypical Parts
WACV 2023
This Looks Like That: Deep Learning for Interpretable Image Recognition
NeurIPS 2019