7 citations · 7 across the 2 of their papers we have counts for
2 papers
cs.CV2022
Pixel to Binary Embedding Towards Robustness for CNNs
Ikki Kishida, Hideki Nakayama
There are several problems with the robustness of Convolutional Neural Networks (CNNs). For example, the prediction of CNNs can be changed by adding a small magnitude of noise to a…
cs.CV2019★ 7 cited
Empirical Study of Easy and Hard Examples in CNN Training
Ikki Kishida, Hideki Nakayama
Deep Neural Networks (DNNs) generalize well despite their massive size and capability of memorizing all examples. There is a hypothesis that DNNs start learning from simple pattern…