A Novel Soft Margin Loss Function for Deep Discriminative Embedding Learning
Deep embedding learning aims to learn discriminative feature representations through a deep convolutional neural network model. Commonly, such a model contains a network architecture and a loss function. The architecture is responsible for hierarchical feature extraction, while the loss function sup...
| Main Authors: | , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
IEEE
2020-01-01
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| Series: | IEEE Access |
| Subjects: | |
| Online Access: | https://ieeexplore.ieee.org/document/9249024/ |