CVPR2025
SapiensID: Foundation for Human Recognition
Minchul Kim, Dingqiang Ye, Yiyang Su, Feng Liu, Xiaoming Liu
摘要
Figure 1. SapiensID is a human recognition model trained on a large-scale dataset of human images featuring varied poses and visible body parts. For the first time, a single model performs effectively across diverse face and body benchmarks [25, 56, 71, 85]. This marks a significant improvement over previous body recognition models, which were often limited to one specific camera setup or image alignments for one model, with worse performance in in-the-wild scenarios. Additionally, we introduce a large-scale, cross-pose and cross-scale training and evaluation set designed to facilitate further research in this area. -The name SapiensID pertains to the ability to recognize humans.