We deem a computer to exhibit artificial intelligence (AI) when it performs a task that would
normally require intelligent action by a human. Much of the recent excitement about AI in the …

Deep metric learning aims to learn a function mapping image pixels to embedding feature
vectors that model the similarity between images. Two major applications of metric learning …

Much attention has been given to machine learning and its perceived impact in radiology,
particularly in light of recent success with image classification in international competitions …

This paper introduces the large scale visual search algorithm and system infrastructure at
Alibaba. The following challenges are discussed under the E-commercial circumstance at …

A media analysis system includes one or more hardware processors, a memory storing
synopses associated with catalog books, and a content analysis engine. The content …

In this paper, we present a unified end-to-end approach to build a large scale Visual Search
and Recommendation system for e-commerce. Previous works have targeted these …

Related Pins is the Web-scale recommender system that powers over 40% of user
engagement on Pinterest. This paper is a longitudinal study of three years of its …

Modeling fashion compatibility is challenging due to its complexity and subjectivity. Existing
work focuses on predicting compatibility between product images (eg an image containing a …

Recent advancements in deep learning techniques facilitate intelligent-query support in
diverse applications, such as content-based image retrieval and audio texturing. Unlike …

In this paper, we propose a novel end-to-end approach for scalable visual search
infrastructure. We discuss the challenges we faced for a massive volatile inventory like at …