PIP-Net: Patch-Based Intuitive Prototypes for Interpretable Image Classification-Reference-Cited by-同舟云学术

PIP-Net: Patch-Based Intuitive Prototypes for Interpretable Image Classification

Published:2023-06 Issue: Volume: Page:
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Container-title:2023 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)
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Author:

Nauta Meike¹,Schlötterer Jörg²,van Keulen Maurice¹,Seifert Christin²

Affiliation:

1. University of Twente,the Netherlands

2. University of Duisburg-Essen,Germany

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10203037/10203050/10204807.pdf?arnumber=10204807

Reference43 articles.

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2. Interpretable Image Recognition by Constructing Transparent Embedding Space

3. Self-Supervised Visual Feature Learning With Deep Neural Networks: A Survey

4. NormFace

5. 3D Object Representations for Fine-Grained Categorization

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