| DC Field | Value | Language |
|---|
| dc.contributor.author | BOURAHLA, KArim | - |
| dc.contributor.author | BENZEGHLI, NOr El Islam | - |
| dc.date.accessioned | 2022-03-28T09:38:54Z | - |
| dc.date.available | 2022-03-28T09:38:54Z | - |
| dc.date.issued | 2021 | - |
| dc.identifier.uri | https://repository.esi-sba.dz/jspui/handle/123456789/43 | - |
| dc.description | Dr. Belkacem Khaldi Encadreur | en_US |
| dc.description.abstract | Fashion has been one of the greatest ways for us to express our individuality. It can be defined as the way we wear our clothes, put on apparels and accessories which all takes place in a particular period, place and context. It is one of the most important business industries in the world right now so it’s only fitting to do a recap of the fashion evolution in the computer vision field in this thesis we are going to explore the different topics covered in the literatures including fashion detection, fashion analysis, fashion synthesis and fashion compatibility. Where for each topic we cover its subtopics, datasets used, state of the art methods and evaluation metrics for each of them. | en_US |
| dc.language.iso | en | en_US |
| dc.subject | Fashion | en_US |
| dc.subject | Computer Vision | en_US |
| dc.subject | Artificial Intelligence | en_US |
| dc.subject | Recommendation | en_US |
| dc.subject | Synthesis | en_US |
| dc.subject | Analysis | en_US |
| dc.subject | Detection | en_US |
| dc.subject | Deep Learning | en_US |
| dc.title | Artificial intelligence approaches applied in the fashion industry | en_US |
| dc.type | Thesis | en_US |
| Appears in Collections: | Master
|
