Review — Scene Parsing through ADE20K Dataset (Semantic Segmentation)

Original Source Here

For example, the stuff classes like ‘wall’, ‘building’, ‘floor’, and ‘sky’ occupy more than 40% of all the annotated pixels, while the discrete objects, such as ‘vase’ and ‘microwave’ at the tail of the distribution, occupy only 0.03% of the annotated pixels.

Because of the long-tail distribution, a semantic segmentation network can be easily dominated by the most frequent stuff classes.


Trending AI/ML Article Identified & Digested via Granola by Ramsey Elbasheer; a Machine-Driven RSS Bot

%d bloggers like this: