Recalling Holistic Information for Semantic Segmentation

Understand

Semantic segmentation requires a detailed labeling of image pixels by object category.

• Information derived from local image patches is necessary to describe the detailed shape of individual objects.
• However, this information is ambiguous and can result in noisy labels.
• Global inference of image content can instead capture the general semantic concepts present.