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Eyenet: Attention based Convolutional Encoder-Decoder Network for Eye Region Segmentation

Eyenet: Attention based Convolutional Encoder-Decoder Network for Eye Region Segmentation

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_proquest_journals_2302876782

Eyenet: Attention based Convolutional Encoder-Decoder Network for Eye Region Segmentation

About this item

Full title

Eyenet: Attention based Convolutional Encoder-Decoder Network for Eye Region Segmentation

Author / Creator

Publisher

Ithaca: Cornell University Library, arXiv.org

Journal title

arXiv.org, 2019-10

Language

English

Formats

Publication information

Publisher

Ithaca: Cornell University Library, arXiv.org

More information

Scope and Contents

Contents

With the immersive development in the field of augmented and virtual reality, accurate and speedy eye-tracking is required. Facebook Research has organized a challenge, named OpenEDS Semantic Segmentation challenge for per-pixel segmentation of the key eye regions: the sclera, the iris, the pupil, and everything else (background). There are two con...

Alternative Titles

Full title

Eyenet: Attention based Convolutional Encoder-Decoder Network for Eye Region Segmentation

Authors, Artists and Contributors

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Primary Identifiers

Record Identifier

TN_cdi_proquest_journals_2302876782

Permalink

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_proquest_journals_2302876782

Other Identifiers

E-ISSN

2331-8422

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