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

Meike Nauta, Jörg Schlötterer, Maurice van Keulen, Christin Seifert

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Academic › peer-review

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Original language	English
Title of host publication	CVPR 2023
Pages	2744-2753
Publication status	Published - 19 Jun 2023
Event	IEEE/CVF Conference on Computer Vision and Pattern Recognition, CVPR 2023 - Vancouver, Canada Duration: 18 Jun 2023 → 22 Jun 2023 https://cvpr2023.thecvf.com/

Conference	IEEE/CVF Conference on Computer Vision and Pattern Recognition, CVPR 2023
Abbreviated title	CVPR 2023
Country/Territory	Canada
City	Vancouver
Period	18/06/23 → 22/06/23
Internet address	https://cvpr2023.thecvf.com/

Access to Document

@inproceedings{469153b1ee2d4d4b9da38448e17e7cdd,

title = "PIP-Net: Patch-Based Intuitive Prototypes for Interpretable Image Classification",

author = "Meike Nauta and J{\"o}rg Schl{\"o}tterer and {van Keulen}, Maurice and Christin Seifert",

year = "2023",

month = jun,

day = "19",

language = "English",

pages = "2744--2753",

booktitle = "CVPR 2023",

note = "IEEE/CVF Conference on Computer Vision and Pattern Recognition, CVPR 2023, CVPR 2023 ; Conference date: 18-06-2023 Through 22-06-2023",

url = "https://cvpr2023.thecvf.com/",

}

TY - GEN

T1 - PIP-Net: Patch-Based Intuitive Prototypes for Interpretable Image Classification

AU - Nauta, Meike

AU - Schlötterer, Jörg

AU - van Keulen, Maurice

AU - Seifert, Christin

PY - 2023/6/19

Y1 - 2023/6/19

M3 - Conference contribution

SP - 2744

EP - 2753

BT - CVPR 2023

T2 - IEEE/CVF Conference on Computer Vision and Pattern Recognition, CVPR 2023

Y2 - 18 June 2023 through 22 June 2023

ER -