Label-efficient and reliable semantic segmentation is essential for many...
Recent conditional image generation methods produce images of remarkable...
Unsupervised image-to-image translation methods aim to map images from o...
Progress in machine learning is typically measured by training and testi...
Conditional computation and modular networks have been recently proposed...
Less than 35
leads to increased soil and sea pollution and is one of the...
Given an input image from a source domain and a "guidance" image from a
...
The goal of unsupervised image-to-image translation is to map images fro...
Unsupervised image-to-image translation is a recently proposed task of
t...