Enhanced Se-Resnet 101 For Food Image Segmentation
In recent years, deep learning has demonstrated its usefulness and capability in computer vision due to its high accuracy and acceptability. This thesis focuses on the enhanced instance segmentation method for multiple types of food and the improved food volume estimation method for better food calo...
محفوظ في:
| المؤلف الرئيسي: | |
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| التنسيق: | أطروحة |
| اللغة: | English |
| منشور في: |
2022
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| الوصول للمادة أونلاين: | http://eprints.usm.my/60121/1/Pages%20from%20SUHAILA%20FARHAN%20AHMAD%20ABUOWAIDA%20-%20TESIS-2.pdf |
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my-usm-ep.60121 |
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my-usm-ep.601212024-03-12T00:47:51Z Enhanced Se-Resnet 101 For Food Image Segmentation 2022-12 Abuowaida, Suhaila Farhan Ahmad QA75.5-76.95 Electronic computers. Computer science In recent years, deep learning has demonstrated its usefulness and capability in computer vision due to its high accuracy and acceptability. This thesis focuses on the enhanced instance segmentation method for multiple types of food and the improved food volume estimation method for better food calorie estimation. 2022-12 Thesis http://eprints.usm.my/60121/ http://eprints.usm.my/60121/1/Pages%20from%20SUHAILA%20FARHAN%20AHMAD%20ABUOWAIDA%20-%20TESIS-2.pdf application/pdf en public phd doctoral Universiti Sains Malaysia Pusat Pengajian Sains Komputer ( School of Computer Sciences) |
| institution |
Universiti Sains Malaysia |
| collection |
USM Institutional Repository |
| language |
English |
| topic |
QA75.5-76.95 Electronic computers Computer science |
| spellingShingle |
QA75.5-76.95 Electronic computers Computer science Abuowaida, Suhaila Farhan Ahmad Enhanced Se-Resnet 101 For Food Image Segmentation |
| description |
In recent years, deep learning has demonstrated its usefulness and capability in computer vision due to its high accuracy and acceptability. This thesis focuses on the enhanced instance segmentation method for multiple types of food and the improved food volume estimation method for better food calorie estimation. |
| format |
Thesis |
| qualification_name |
Doctor of Philosophy (PhD.) |
| qualification_level |
Doctorate |
| author |
Abuowaida, Suhaila Farhan Ahmad |
| author_facet |
Abuowaida, Suhaila Farhan Ahmad |
| author_sort |
Abuowaida, Suhaila Farhan Ahmad |
| title |
Enhanced Se-Resnet 101 For Food Image Segmentation |
| title_short |
Enhanced Se-Resnet 101 For Food Image Segmentation |
| title_full |
Enhanced Se-Resnet 101 For Food Image Segmentation |
| title_fullStr |
Enhanced Se-Resnet 101 For Food Image Segmentation |
| title_full_unstemmed |
Enhanced Se-Resnet 101 For Food Image Segmentation |
| title_sort |
enhanced se-resnet 101 for food image segmentation |
| granting_institution |
Universiti Sains Malaysia |
| granting_department |
Pusat Pengajian Sains Komputer ( School of Computer Sciences) |
| publishDate |
2022 |
| url |
http://eprints.usm.my/60121/1/Pages%20from%20SUHAILA%20FARHAN%20AHMAD%20ABUOWAIDA%20-%20TESIS-2.pdf |
| _version_ |
1794024092309913600 |