Instance Level Human Parsing

Instance-level human parsing aims to precisely segment and label individual human body parts within an image, going beyond simple person detection. Recent research emphasizes developing more accurate and efficient models, shifting away from anchor-based detection methods towards anchor-free and pixel-level approaches, often incorporating transformer architectures or edge-guided segmentation. This improved parsing capability is crucial for applications like person search, fashion analysis, and human-computer interaction, driving the development of richer datasets that include detailed attribute descriptions for each body part.