The Effect of Samsung Pay on Korea Equity Market: Using the Samsung’s Domestic Supply Chain

Abstract

Human is one of the most essential classes in visual recognition tasks such as detection, segmentation, and pose estimation. Although much effort has been put into individual tasks, multi-task learning for these three tasks has been rarely studied. In this paper, we explore a compact multi-task network architecture that maximally shares the parameters of the multiple tasks via object-centric learning. To this end, we propose a novel query design to encode the human instance information effectively, called humancentric query (HCQ). HCQ enables for the query to learn explicit and structural information of human as well such as keypoints. Besides, we utilize HCQ in prediction heads of the target tasks directly and also interweave HCQ with the deformable attention in Transformer decoders to exploit a well-learned object-centric representation. Experimental results show that the proposed multi-task network achieves comparable accuracy to state-of-the-art task-specific models in human detection, segmentation, and pose estimation task, while it consumes less computational costs.

The Effect of Samsung Pay Release Event on Samsung Pay's Strategic Alliances in Korea Equity Market

“…Specifically, the strategic alliance announcement in a particular supply chain changes the value of firms [22]. It may be beneficial when firms face more uncertain circumstances [23].…”

An analysis on market reaction to mobile payment adoption: comparison between financial and non-financial industry

“…For example, Zhou (2013) looked at the intention to continuously use mobile payments, while De Reuver et al (2015) examined mobile payment platforms established through cooperation between banks and telecommunications operators. Son et al (2015b) focused on mobile payment service-related issues derived from smartphone brands, such as Samsung Pay and Apple Pay. Past studies seldom used cross-analysis to investigate the influence of the introduction of mobile payment services on the stock price and return of listed and OTC-listed companies (Lin, 2014;Son and Kim, 2016;Fiedler, 2015;Jawale and Park, 2016).…”

An Analysis on Market Reaction to Mobile Payment Adoption: Comparison between Financial and Non-financial Industry

“…For example, Zhou (2013) looked at the intention to continuously use mobile payments, while De Reuver et al (2015) examined mobile payment platforms established through cooperation between banks and telecommunications operators. Son et al (2015b) focused on mobile payment service-related issues derived from smartphone brands, such as Samsung Pay and Apple Pay. Past studies seldom used cross-analysis to investigate the influence of the introduction of mobile payment services on the stock price and return of listed and OTC-listed companies (Lin, 2014;Son and Kim, 2016;Fiedler, 2015;Jawale and Park, 2016).…”