188 citations · 215 across the 5 of their papers we have counts for
3 papers · 1 filter
PLaMo 2.1-VL Technical Report
Tommi Kerola, Yuya Masuda, Takashi Masuko +5
We introduce PLaMo 2.1-VL, a lightweight Vision Language Model (VLM) for autonomous devices, available in 8B and 2B variants and designed for local and edge deployment with Japanes…
ShakeDrop Regularization for Deep Residual Learning
Yoshihiro Yamada, Masakazu Iwamura, Takuya Akiba +1
Overfitting is a crucial problem in deep neural networks, even in the latest network architectures. In this paper, to relieve the overfitting effect of ResNet and its improvements…
Deep Pyramidal Residual Networks with Separated Stochastic Depth
Yoshihiro Yamada, Masakazu Iwamura, Koichi Kise
On general object recognition, Deep Convolutional Neural Networks (DCNNs) achieve high accuracy. In particular, ResNet and its improvements have broken the lowest error rate record…