Computer and Modernization ›› 2022, Vol. 0 ›› Issue (12): 81-87.

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Face Clustering Method Based on Nearest Neighborhood Aggregation

  

  1. (1. College of Information Science and Technology, Hebei Agricultural University, Baoding 071001, China;
    2.Hebei Key Laboratory of Agricultural Big Data, Baoding 071001, China)
  • Online:2023-01-04 Published:2023-01-04

Abstract: Face clustering is a pre-processing process for face annotation, face recognition and other tasks. It can reduce the labelling burden and provide high-quality annotation for face recognition models by grouping face images. The challenge of face clustering is to extract the global and local structural knowledge in large-scale face datasets and transfer it to the unlabelled ones. To address the issue, a face clustering method based on nearest neighbor aggregation is proposed. The method formulates local structure learning as a link prediction problem. It extracts multi-scale neighborhood characteristics by multiple improved residual Fully-Connected block. The experimental results show that the proposed method can effectively improve the clustering accuracy on the benchmark compared with the mainstream face clustering methods.

Key words: face clustering, nearest neighborhood, link prediction; , residual block