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Reconciling Feature-Reuse and Overfitting in DenseNet with Specialized
  Dropout

Reconciling Feature-Reuse and Overfitting in DenseNet with Specialized Dropout

28 September 2018
Kun Wan
Boyuan Feng
Lingwei Xie
Yufei Ding
ArXivPDFHTML

Papers citing "Reconciling Feature-Reuse and Overfitting in DenseNet with Specialized Dropout"

3 / 3 papers shown
Title
Automatic hip osteoarthritis grading with uncertainty estimation from
  computed tomography using digitally-reconstructed radiographs
Automatic hip osteoarthritis grading with uncertainty estimation from computed tomography using digitally-reconstructed radiographs
Masachika Masuda
Mazen Soufi
Yoshito Otake
Keisuke Uemura
Sotaro Kono
...
Yi Gu
Masaki Takao
Seiji Okada
Nobuhiko Sugano
Yoshinobu Sato
OOD
37
5
0
30 Dec 2023
Eye Know You Too: A DenseNet Architecture for End-to-end Eye Movement
  Biometrics
Eye Know You Too: A DenseNet Architecture for End-to-end Eye Movement Biometrics
D. Lohr
Oleg V. Komogortsev
25
4
0
05 Jan 2022
Improving neural networks by preventing co-adaptation of feature
  detectors
Improving neural networks by preventing co-adaptation of feature detectors
Geoffrey E. Hinton
Nitish Srivastava
A. Krizhevsky
Ilya Sutskever
Ruslan Salakhutdinov
VLM
266
7,640
0
03 Jul 2012
1