← Search

Ryu Tadokoro

2 accepted papers

2024

Pseudo-Outlier Synthesis Using Q-Gaussian Distributions for Out-of-Distribution Detection

ICASSP 2024accepted

Out-of-distribution (OOD) detection, which aims to determine whether an input is outside the training data distribution or not, is an indispensable task in many computer vision applications. In many of the previous studies on OOD detection for image classification, the class-conditional distribution…

Cited by 0SourceScholar
2024

Rethinking Image Super Resolution from Training Data Perspectives

ECCV 2024poster

"In this work, we investigate the understudied effect of the training data used for image super-resolution (SR). Most commonly, novel SR methods are developed and benchmarked on common training datasets such as DIV2K and DF2K. However, we investigate and rethink the training data from the perspectiv…