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Combined convolutional and recurrent neural networks for hierarchical
  classification of images
v1v2v3 (latest)

Combined convolutional and recurrent neural networks for hierarchical classification of images

25 September 2018
Jaehoon Koo
Diego Klabjan
J. Utke
ArXiv (abs)PDFHTML

Papers citing "Combined convolutional and recurrent neural networks for hierarchical classification of images"

4 / 4 papers shown
Harnessing Superclasses for Learning from Hierarchical Databases
Harnessing Superclasses for Learning from Hierarchical Databases
Nicolas Urbani
Sylvain Rousseau
Yves Grandvalet
Leonardo Tanzi
396
1
0
25 Nov 2024
Graceful Degradation and Related Fields
Graceful Degradation and Related Fields
J. Dymond
265
5
0
21 Jun 2021
Crop mapping from image time series: deep learning with multi-scale
  label hierarchies
Crop mapping from image time series: deep learning with multi-scale label hierarchies
Mehmet Özgür Türkoglu
Stefano Dáronco
Gregor Perich
F. Liebisch
Constantin Streit
Konrad Schindler
Jan Dirk Wegner
354
166
0
17 Feb 2021
Hyperbolic Interaction Model For Hierarchical Multi-Label Classification
Hyperbolic Interaction Model For Hierarchical Multi-Label ClassificationAAAI Conference on Artificial Intelligence (AAAI), 2019
Boli Chen
Xin Huang
Lin Xiao
Zixin Cai
L. Jing
262
78
0
26 May 2019
1
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