A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2020; you can also visit the original URL.
The file type is
Powering Robust Fashion Retrieval With Information Rich Feature Embeddings
2019 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW)
Visual content-based product retrieval has become increasingly important for e-commerce. Fashion retrieval, in particular, is a challenging problem owing to a wide range of visual distortions in their product images. In this paper, we propose a Grid Search Network (GSN) for learning feature embeddings for fashion retrieval. The proposed approach posits the training procedure as a search problem, focused on locating matches for a reference query image in a grid containing both positive anddoi:10.1109/cvprw.2019.00045 dblp:conf/cvpr/ChopraSGSAK19 fatcat:2aekxjnhvfaizperjca7eiht3q