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PCNN: Probable-Class Nearest-Neighbor Explanations Improve Fine-Grained
  Image Classification Accuracy for AIs and Humans

PCNN: Probable-Class Nearest-Neighbor Explanations Improve Fine-Grained Image Classification Accuracy for AIs and Humans

25 August 2023
Giang Nguyen
Valerie Chen
Mohammad Reza Taesiri
Anh Totti Nguyen
ArXivPDFHTML

Papers citing "PCNN: Probable-Class Nearest-Neighbor Explanations Improve Fine-Grained Image Classification Accuracy for AIs and Humans"

3 / 3 papers shown
Title
Allowing humans to interactively guide machines where to look does not
  always improve human-AI team's classification accuracy
Allowing humans to interactively guide machines where to look does not always improve human-AI team's classification accuracy
Giang Nguyen
Mohammad Reza Taesiri
Sunnie S. Y. Kim
Anh Nguyen
HAI
AAML
FAtt
16
6
0
08 Apr 2024
HIVE: Evaluating the Human Interpretability of Visual Explanations
HIVE: Evaluating the Human Interpretability of Visual Explanations
Sunnie S. Y. Kim
Nicole Meister
V. V. Ramaswamy
Ruth C. Fong
Olga Russakovsky
58
112
0
06 Dec 2021
Interpretable Image Classification with Differentiable Prototypes
  Assignment
Interpretable Image Classification with Differentiable Prototypes Assignment
Dawid Rymarczyk
Lukasz Struski
Michal Górszczak
K. Lewandowska
Jacek Tabor
Bartosz Zieliñski
31
97
0
06 Dec 2021
1