Effective Domain Knowledge Transfer with Soft Fine-tuning

Zhao Zhichen
Zhao Zhichen
Zhang Bowen
Zhang Bowen
Xu Li
Xu Li
Cited by: 0|Bibtex|Views16|Links

Abstract:

Convolutional neural networks require numerous data for training. Considering the difficulties in data collection and labeling in some specific tasks, existing approaches generally use models pre-trained on a large source domain (e.g. ImageNet), and then fine-tune them on these tasks. However, the datasets from source domain are simply ...More

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