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Interpretable Graph Capsule Networks for Object Recognition

Interpretable Graph Capsule Networks for Object Recognition

3 December 2020
Jindong Gu
Volker Tresp
    FAtt
ArXivPDFHTML

Papers citing "Interpretable Graph Capsule Networks for Object Recognition"

5 / 5 papers shown
Title
Towards the Characterization of Representations Learned via
  Capsule-based Network Architectures
Towards the Characterization of Representations Learned via Capsule-based Network Architectures
Saja AL-Tawalbeh
José Oramas
20
1
0
09 May 2023
Why Capsule Neural Networks Do Not Scale: Challenging the Dynamic
  Parse-Tree Assumption
Why Capsule Neural Networks Do Not Scale: Challenging the Dynamic Parse-Tree Assumption
Matthias Mitterreiter
Marcel Koch
Joachim Giesen
Soren Laue
3DPC
MedIm
25
13
0
04 Jan 2023
Explainability and Robustness of Deep Visual Classification Models
Explainability and Robustness of Deep Visual Classification Models
Jindong Gu
AAML
39
2
0
03 Jan 2023
Learning with Capsules: A Survey
Learning with Capsules: A Survey
Fabio De Sousa Ribeiro
Kevin Duarte
Miles Everett
Georgios Leontidis
M. Shah
3DPC
MedIm
18
19
0
06 Jun 2022
CapsNet for Medical Image Segmentation
CapsNet for Medical Image Segmentation
Minh-Trieu Tran
Viet-Khoa Vo-Ho
Kyle Quinn
Hien Nguyen
Khoa Luu
Ngan Le
MedIm
13
5
0
16 Mar 2022
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