Progressive Network Grafting With Local Features Embedding for Few-Shot Knowledge Distillation
Compared with traditional knowledge distillation, which relies on a large amount of data, few-shot knowledge distillation can distill student networks with good performance using only a small number of samples. Some recent studies treat the network as a combination of a series of network blocks, ado...
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| Format: | Article |
| Language: | English |
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IEEE
2022-01-01
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| Series: | IEEE Access |
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| Online Access: | https://ieeexplore.ieee.org/document/9934906/ |