Taking into consideration the uniqueness of Human
In recent years, research related to “humans” in the computer vision community has become increasingly active because of the high demand for real-life applications, among them is instance segmentation.
The standard approach to image instance segmentation is to perform the object detection first, and then segment the object from the detection bounding-box. More recently, deep learning methods like Mask R-CNN perform them jointly. However, as human associated tasks becoming more common like human recognition, tracking etc. one might wonder why does the uniqueness of the “human” category does not taken into account.