Summary Fashion Attributes

Clothing Recommender System

• Part I : Object Detection
• Part II : Attribute Tagging
• Part 3 : Recommendation based on Frequency

Fashion Meets Computer Vision: A Survey

Paper #1 - Progressive Fashion Attribute Extraction

• Attributes (neck design detailing, sleeves detailing, etc) 

Paper #2 - Attr2Style: A Transfer Learning Approach for Inferring Fashion Styles via Apparel Attributes

• Low-level attributes of an apparel (for example, neck type, dress length, collar type, print etc)

• Transfer learning based approach to address the issue of style-based image captioning for a target dataset

Paper #3 - The iMaterialist Fashion Attribute Dataset

Paper #4 - A Deep-Learning-Based Fashion Attributes Detection Model

Paper #5 - FashionSearchNet-v2: Learning Attribute Representations with Localization for Image Retrieval with Attribute Manipulation

Myntra Customization

Occasion based Recommendation system in E-commerce like Amazon, Etsy

Visual Attributes for Fashion Analytics

We use low-level visual features to predict intermediate clothing attributes such as color, pattern, material, or collar type Occasion-oriented clothing recommendation

Attribute Types

Color/ Attributes

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Fine-Grained Fashion Similarity Prediction by Attribute-Specific Embedding Learning

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