Pupil Refinement Recognition Method Based on Deep Residual Network and Attention Mechanism

Pupil Refinement Recognition Method Based on Deep Residual Network and Attention Mechanism

This study aims to capture subtle changes in the pupil, identify relatively weak inter-class changes, extract more abstract and discriminative pupil features, and study a pupil refinement recognition method based on attention mechanisms. Based on the deep learning framework and the ResNet101 deep re...

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Bibliographic Details
Main Authors: Zehui Chen, Changyuan Wang, Gongpu Wu
Format: Article
Language:English
Published: MDPI AG 2024-11-01
Series:Applied Sciences
Subjects:
deep residual network
attention mechanism
pupil recognition
refined identification
Softmax classifier
Online Access:https://www.mdpi.com/2076-3417/14/23/10971
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