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DocXplain: A Novel Model-Agnostic Explainability Method for Document
  Image Classification

DocXplain: A Novel Model-Agnostic Explainability Method for Document Image Classification

4 July 2024
S. Saifullah
S. Agne
Andreas Dengel
Sheraz Ahmed
ArXivPDFHTML

Papers citing "DocXplain: A Novel Model-Agnostic Explainability Method for Document Image Classification"

3 / 3 papers shown
Title
High-Performance Large-Scale Image Recognition Without Normalization
High-Performance Large-Scale Image Recognition Without Normalization
Andrew Brock
Soham De
Samuel L. Smith
Karen Simonyan
VLM
220
510
0
11 Feb 2021
MobileNets: Efficient Convolutional Neural Networks for Mobile Vision
  Applications
MobileNets: Efficient Convolutional Neural Networks for Mobile Vision Applications
Andrew G. Howard
Menglong Zhu
Bo Chen
Dmitry Kalenichenko
Weijun Wang
Tobias Weyand
M. Andreetto
Hartwig Adam
3DH
948
20,214
0
17 Apr 2017
Densely Connected Convolutional Networks
Densely Connected Convolutional Networks
Gao Huang
Zhuang Liu
L. V. D. van der Maaten
Kilian Q. Weinberger
PINN
3DV
244
35,884
0
25 Aug 2016
1