Pose-invariant face recognition via feature-space pose frontalization

Benchmark Model Rank Results
face-recognition-on-cplfwFSPFM (ResNet50, fine-tuning + ADA)#5Accuracy: 93.83
face-recognition-on-cfp-fpFSPFM (ResNet50, fine-tuning + ADA)#8Accuracy: 98.67
face-recognition-on-lfwFSPFM (ResNet50, fine-tuning + ADA)#9Accuracy: 99.83
face-recognition-on-calfwFSPFM (ResNet50, fine-tuning + ADA)#10Accuracy: 96.05
face-recognition-on-agedb-30FSPFM (ResNet50, fine-tuning + ADA)#11Accuracy: 98.13