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Shin_Local_Connectivity-Based_Density_Estimation_for_Face_Clustering_CVPR_2023_paper.pdf
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🔗 Source: openaccess.thecvf.com
📊 Size: 1.67 MB
👤 Author: Junho Shin; Hyo-Jun Lee; Hyunseop Kim; Jong-Hyeon Baek; Daehyun Kim; Yeong Jun Koh
⬇️ Downloads: 93

Summary

The proposed method employs density-based clustering, which maintains edges with higher density, and uses a reliable density estimation algorithm based on local connectivity between K nearest neighbors (KNN). The method effectively excludes negative pairs from the KNN graph while maintaining sufficient positive pairs, and develops a pairwise connectivity estimation network to predict the connectivity of the selected edges. Experimental results demonstrate that the proposed clustering method significantly outperforms state-of-the-art clustering methods on large-scale face clustering datasets and fashion image clustering datasets. The method has three main contributions: developing a local connectivity estimation network (LCENet) to compute reliable node density, designing a pairwise connectivity estimation network (PCENet) based on intra-class and inter-class similarities, and achieving significant performance improvement on various datasets.

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Description

The proposed method employs density-based clustering, which maintains edges with higher density, and uses a reliable density estimation algorithm based on...

Technical Information

  • File Format: PDF
  • File Size: 1.67 MB
  • Pages: 9
  • Language: EN
  • Author: Junho Shin; Hyo-Jun Lee; Hyunseop Kim; Jong-Hyeon Baek; Daehyun Kim; Yeong Jun Koh
  • Total Downloads: 93
  • Last Updated: 1 month ago

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