Sclera-TransFuse: Fusing Swin Transformer and CNN for Accurate Sclera Segmentation-Reference-Cited by-同舟云学术

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Sclera-TransFuse: Fusing Swin Transformer and CNN for Accurate Sclera Segmentation

Published:2023-09-25 Issue: Volume: Page:1-8
ISSN:
Container-title:2023 IEEE International Joint Conference on Biometrics (IJCB)
language:
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Author:

Li Haiqing¹,Wang Caiyong¹,Zhao Guangzhe¹,He Zhaofeng²,Wang Yunlong³,Sun Zhenan³

Affiliation:

1. Beijing University of Civil Engineering and Architecture,Beijing Key Laboratory of Robot Bionics and Function Research,Beijing,P.R,China

2. Beijing University of Posts and Telecommunications,Beijing,P.R,China

3. CRIPAC, MAIS, CASIA,Beijing,P.R,China

Funder

National Natural Science Foundation of China

Nova

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10447019/10448524/10448814.pdf?arnumber=10448814

Reference25 articles.

1. SegNet: A Deep Convolutional Encoder-Decoder Architecture for Image Segmentation

2. SSERBC 2017: Sclera segmentation and eye recognition benchmarking competition

3. The 8th sclera segmentation and recognition benchmarking competition (ssrbc 2023);Das

4. Multi-angle based lively sclera biometrics at a distance

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