Pose Based Human Instance Segmentation

Pose-Based Human Instance Segmentation is a task in the field of computer vision that aims to accurately segment each individual human instance in an image based on their actual poses. This task achieves precise differentiation and localization of multiple individuals in complex scenes by identifying and segmenting humans with specific poses, offering extensive application value in areas such as behavior analysis, human-computer interaction, and intelligent surveillance.