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OSLNet: Deep Small-Sample Classification with an Orthogonal Softmax
  Layer

OSLNet: Deep Small-Sample Classification with an Orthogonal Softmax Layer

20 April 2020
Xiaoxu Li
Dongliang Chang
Zhanyu Ma
Z. Tan
Jing-Hao Xue
Jie Cao
Jingyi Yu
Jun Guo
ArXivPDFHTML

Papers citing "OSLNet: Deep Small-Sample Classification with an Orthogonal Softmax Layer"

5 / 5 papers shown
Title
Data-Efficient Learning via Minimizing Hyperspherical Energy
Data-Efficient Learning via Minimizing Hyperspherical Energy
Xiaofeng Cao
Weiyang Liu
Ivor W. Tsang
14
8
0
30 Jun 2022
On Training Targets and Activation Functions for Deep Representation
  Learning in Text-Dependent Speaker Verification
On Training Targets and Activation Functions for Deep Representation Learning in Text-Dependent Speaker Verification
A. Sarkar
Z. Tan
11
2
0
17 Jan 2022
Avoiding Forgetting and Allowing Forward Transfer in Continual Learning
  via Sparse Networks
Avoiding Forgetting and Allowing Forward Transfer in Continual Learning via Sparse Networks
Ghada Sokar
D. Mocanu
Mykola Pechenizkiy
CLL
10
8
0
11 Oct 2021
BSNet: Bi-Similarity Network for Few-shot Fine-grained Image
  Classification
BSNet: Bi-Similarity Network for Few-shot Fine-grained Image Classification
Xiaoxu Li
Jijie Wu
Z. Sun
Zhanyu Ma
Jie Cao
Jing-Hao Xue
11
124
0
29 Nov 2020
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
243
7,620
0
03 Jul 2012
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