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Deep Learning in Fashion Knowledge Extraction by Alishba Hanif is a document available to read on EtoBox.

What is Deep Learning in Fashion Knowledge Extraction about?

This document provides a review of deep learning approaches for extracting fashion knowledge from social media. It discusses how social media platforms like Instagram have become important marketing tools for the fashion industry and have significantly impacted social media data analysis. Deep learning methods are effective at automatically learning from large amounts of social media fashion data. The review covers five main deep learning tasks for fashion: object detection, fashion classification, clothes

Author

Alishba Hanif

Language

EN