Automatically Searching for U-Net Image Translator Architecture

Understand

Image translators have been successfully applied to many important low level image processing tasks.

• However, classical network architecture of image translator like U-Net, is borrowed from other vision tasks like biomedical image segmentation.
• This straightforward adaptation may not be optimal and could cause redundancy in the network structure.
• In this paper, we propose an automatic architecture searching method for image translator.