Semantic segmentation is one of the most challenging tasks in computer vision. However, in
many applications, a frequent obstacle is the lack of labeled images, due to the high cost of …

Semantic segmentation is a fundamental task in computer vision and finds extensive
applications in scene understanding, medical image analysis, and remote sensing. With the …

Semi-supervised learning is an attractive technique in practical deployments of deep models
since it relaxes the dependence on labeled data. It is especially important in the scope of …

Polunadzirano učenje je važno za praktičnu primjenu dubokih modela jer ublažava ovisnost
o označenim podacima. Ono je posebno zanimljivo u kontekstu guste predikcije, gdje …

语义分割是计算机视觉中最具挑战性的任务之一. 然而, 在许多应用中, 由于像素级标记的高成本
, 缺乏标记图像是一个常见的问题. 这极大地阻碍了在一些注释大量图像成本高甚至不可行的 …

The effectiveness of CycleGAN is demonstrated to outperform recent approaches for
semisupervised semantic segmentation on public segmentation benchmarks. In contrast to …