[Summary] Fine-Grained Fashion Similarity Prediction by Attribute-Specific Embedding Learning
TL;DR In the fashion domain, visually distinct products may share fine-grained attributes like sleeve length or collar shape. Traditional methods of finding similar products often overlook these details, leading to irrelevant results for the user. To address this, the authors propose a model with two branches: a global branch that processes the entire image and a local branch takes a Region Of Interest (ROI) of specific attributes, identified through a spatial attention layer in the global branch....