3 papers
cs.CV2022
MontageGAN: Generation and Assembly of Multiple Components by GANs
Chean Fei Shee, Seiichi Uchida
A multi-layer image is more valuable than a single-layer image from a graphic designer's perspective. However, most of the proposed image generation methods so far focus on single-…
cs.CV2022
Revealing Reliable Signatures by Learning Top-Rank Pairs
Xiaotong Ji, Yan Zheng, Daiki Suehiro +1
Signature verification, as a crucial practical documentation analysis task, has been continuously studied by researchers in machine learning and pattern recognition fields. In spec…
cs.LG2020
No Regret Sample Selection with Noisy Labels
H. Song, N. Mitsuo, S. Uchida +1
Deep neural networks (DNNs) suffer from noisy-labeled data because of the risk of overfitting. To avoid the risk, in this paper, we propose a novel DNN training method with sample…