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2010.00672
Cited By
Explaining Convolutional Neural Networks through Attribution-Based Input Sampling and Block-Wise Feature Aggregation
1 October 2020
S. Sattarzadeh
M. Sudhakar
Anthony Lem
Shervin Mehryar
K. N. Plataniotis
Jongseong Jang
Hyunwoo J. Kim
Yeonjeong Jeong
Sang-Min Lee
Kyunghoon Bae
FAtt
XAI
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Papers citing
"Explaining Convolutional Neural Networks through Attribution-Based Input Sampling and Block-Wise Feature Aggregation"
7 / 7 papers shown
Title
A Novel Explainable Artificial Intelligence Model in Image Classification problem
Quoc Hung Cao
Hung Truong Thanh Nguyen
V. Nguyen
Xuan Phong Nguyen
VLM
32
5
0
09 Jul 2023
On The Coherence of Quantitative Evaluation of Visual Explanations
Benjamin Vandersmissen
José Oramas
XAI
FAtt
36
3
0
14 Feb 2023
TAME: Attention Mechanism Based Feature Fusion for Generating Explanation Maps of Convolutional Neural Networks
Mariano V. Ntrougkas
Nikolaos Gkalelis
Vasileios Mezaris
FAtt
19
8
0
18 Jan 2023
ViT-CX: Causal Explanation of Vision Transformers
Weiyan Xie
Xiao-hui Li
Caleb Chen Cao
Nevin L.Zhang
ViT
37
17
0
06 Nov 2022
Learning Visual Explanations for DCNN-Based Image Classifiers Using an Attention Mechanism
Ioanna Gkartzonika
Nikolaos Gkalelis
Vasileios Mezaris
39
9
0
22 Sep 2022
Rethinking gradient weights' influence over saliency map estimation
Masud An Nur Islam Fahim
Nazmus Saqib
Shafkat Khan Siam
H. Jung
FAtt
24
1
0
12 Jul 2022
Neural Architecture Search with Reinforcement Learning
Barret Zoph
Quoc V. Le
274
5,331
0
05 Nov 2016
1