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OSLNet: Deep Small-Sample Classification With an Orthogonal Softmax Layer
Work
Year: 2020
Type: article
Abstract: A deep neural network of multiple nonlinear layers forms a large function space, which can easily lead to overfitting when it encounters small-sample data. To mitigate overfitting in small-sample clas... more
Source: IEEE Transactions on Image Processing
Authors Xiaoxu Li, Dongliang Chang, Zhanyu Ma, Zheng‐Hua Tan, Jing‐Hao Xue +3 more
Institutions Beijing University of Posts and Telecommunications, Lanzhou University of Technology, Aalborg University, University College London, ShanghaiTech University
Cites: 108
Cited by: 35
Related to: 10
FWCI: 3.306
Citation percentile (by year/subfield): 100
Topic: Domain Adaptation and Few-Shot Learning
Subfield: Artificial Intelligence
Field: Computer Science
Domain: Physical Sciences
Sustainable Development Goal Reduced inequalities
Open Access status: green
Funders Shanghai Association for Science and Technology, National Natural Science Foundation of China, National Natural Science Foundation of China, National Natural Science Foundation of China, National Natural Science Foundation of China +10 more
Grant IDS 2015F0203-000-06, 61922015, 61773071, 61763028, 61977047 +10 more