Supervised contrastive learning and intra-dataset adversarial adaptation for iris segmentation

HIGHLIGHTS

  • who: Zhiyong Zhou and collaborators from the College of Computer Science and Technology, Jilin University, Changchun, China have published the Article: Supervised Contrastive Learning and Intra-Dataset Adversarial Adaptation for Iris Segmentation, in the Journal: Entropy 2022, 1276 of /2022/
  • what: To address these issues the authors propose a three-stage training strategy. The experiments show that the method improved the segmentation performance and achieved the following encouraging results: 0.44% 1.03% 0.66% 0.41% and 0.37% in the Nice1 and 96.66% 98.72% 93.21% 94.28% and 97.41 . . .

     

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