2022
Free Lunch for Cross-Domain Occluded Face Recognition without Source Data
ICASSP 2022accepted
Most recognizing occluded faces methods focus on synthetic-occluded faces for training due to the lack of real-occluded data. However, the performance may suffer from degradation since the synthetic-occluded and real-occluded face images are under different distributions. Hence, it draws our eyes to…