DM-KD: Decoupling Mixed-Images for Efficient Knowledge Distillation
Knowledge distillation (KD) is a method of model compression. It involves extracting valuable knowledge from a high-performance and high-capacity teacher model and transferring this knowledge to a target student model having relatively small capacity. However, we discover that naively applying mixed...
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| Main Authors: | , , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
IEEE
2025-01-01
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| Series: | IEEE Access |
| Subjects: | |
| Online Access: | https://ieeexplore.ieee.org/document/10819346/ |
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