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A Survey of Explainable AI in Deep Visual Modeling: Methods and Metrics

A Survey of Explainable AI in Deep Visual Modeling: Methods and Metrics

31 January 2023
Naveed Akhtar
    XAI
    VLM
ArXivPDFHTML

Papers citing "A Survey of Explainable AI in Deep Visual Modeling: Methods and Metrics"

4 / 4 papers shown
Title
Comprehensive Attribution: Inherently Explainable Vision Model with
  Feature Detector
Comprehensive Attribution: Inherently Explainable Vision Model with Feature Detector
Xianren Zhang
Dongwon Lee
Suhang Wang
VLM
FAtt
40
3
0
27 Jul 2024
What You See is What You Classify: Black Box Attributions
What You See is What You Classify: Black Box Attributions
Steven Stalder
Nathanael Perraudin
R. Achanta
F. Pérez-Cruz
Michele Volpi
FAtt
24
9
0
23 May 2022
Framework for Evaluating Faithfulness of Local Explanations
Framework for Evaluating Faithfulness of Local Explanations
S. Dasgupta
Nave Frost
Michal Moshkovitz
FAtt
111
61
0
01 Feb 2022
Methods for Interpreting and Understanding Deep Neural Networks
Methods for Interpreting and Understanding Deep Neural Networks
G. Montavon
Wojciech Samek
K. Müller
FaML
234
2,233
0
24 Jun 2017
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