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White Box Methods for Explanations of Convolutional Neural Networks in
  Image Classification Tasks

White Box Methods for Explanations of Convolutional Neural Networks in Image Classification Tasks

6 April 2021
Meghna P. Ayyar
J. Benois-Pineau
A. Zemmari
    FAtt
ArXivPDFHTML

Papers citing "White Box Methods for Explanations of Convolutional Neural Networks in Image Classification Tasks"

2 / 2 papers shown
Title
Measuring the Impact of Scene Level Objects on Object Detection: Towards
  Quantitative Explanations of Detection Decisions
Measuring the Impact of Scene Level Objects on Object Detection: Towards Quantitative Explanations of Detection Decisions
Lynn Vonder Haar
Timothy Elvira
Luke Newcomb
Omar Ochoa
31
1
0
19 Jan 2024
On the stability, correctness and plausibility of visual explanation
  methods based on feature importance
On the stability, correctness and plausibility of visual explanation methods based on feature importance
Romain Xu-Darme
Jenny Benois-Pineau
R. Giot
Georges Quénot
Zakaria Chihani
M. Rousset
Alexey Zhukov
XAI
FAtt
22
1
0
25 Oct 2023
1