2 papers
cs.CV2024
Rethinking Image Super-Resolution from Training Data Perspectives
Go Ohtani, Ryu Tadokoro, Ryosuke Yamada +7
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 com…
cs.CV2023
Traffic Incident Database with Multiple Labels Including Various Perspective Environmental Information
Shota Nishiyama, Takuma Saito, Ryo Nakamura +3
A large dataset of annotated traffic accidents is necessary to improve the accuracy of traffic accident recognition using deep learning models. Conventional traffic accident datase…