Search Results for author:
Found 4 papers, 2 papers with code
T-EMDE: Sketching-based global similarity for cross-modal retrieval
However, each modality embeddings stem from non-related feature spaces, which causes the notorious 'heterogeneity gap'.
On the Unreasonable Effectiveness of Centroids in Image Retrieval
We propose centroid training and retrieval as a viable method for both Fashion Retrieval and ReID applications.
Ranked #1 on
Image Retrieval
on Exact Street2Shop
Multi-modal Embedding Fusion-based Recommender
Contrary to existing recommendation systems, our platform supports multiple types of interaction data with multiple modalities of metadata natively.
A Strong Baseline for Fashion Retrieval with Person Re-Identification Models
As a result, fashion retrieval is an active field of research both in academia and the industry.
Ranked #1 on
Image Retrieval
on Exact Street2Shop
