Daigo Kanda

Source Data-less Efficient Transfer Learning Based on Layer Importance Index Using Activated Feature Map

2022 · 2022 IEEE International Conference on Systems, Man, and Cybernetics (SMC)

Transfer learning performance in convolutional neural networks (CNNs) depends on the selection of retraining and fixation layers. The conventional method requires source data, which increases the cost proportionally to the data’s size. To solve this …