2 papers
cs.LG2020
Triplet Loss for Knowledge Distillation
Hideki Oki, Motoshi Abe, Junichi Miyao +1
In recent years, deep learning has spread rapidly, and deeper, larger models have been proposed. However, the calculation cost becomes enormous as the size of the models becomes la…
cs.CV2019
Mixup of Feature Maps in a Hidden Layer for Training of Convolutional Neural Network
Hideki Oki, Takio Kurita
The deep Convolutional Neural Network (CNN) became very popular as a fundamental technique for image classification and objects recognition. To improve the recognition accuracy for…