14,827 research outputs found
Development of a Conceptual Model to Explore Consumers\u27 Motivations To Collaboratively Consume Fashion
The phenomenon of collaborative consumption (CC) or sharing economy , where people coordinate acquisition and distribution of a resource for a fee or other compensation has gained tremendous popularity in recent years. The popularity of CC practice has also been observed in the fashion retail industry through two distinct forms: online fashion rental services and peer-to-peer (P2P) platforms that allow for selling and exchanging of goods. The purpose of this conceptual paper is to develop a conceptual framework for studying various motivations of consumers who collaboratively consume fashion. Drawing on extant literature, a conceptual framework incorporating utilitarian and hedonic motives, sustainability motive, and the moderating role of perceived risk on the attitude toward CC is proposed
QCD sum rules with two-point correlation function
We construct three different sum rules from the two-point correlation
function with pion, , beyond the soft-pion limit. The PS and PV coupling schemes in
the construction of the phenomenological side are carefully considered in each
sum rule. We discuss the dependence of the result on the specific Dirac
structure and identify the source of the dependence by making specific models
for higher resonances.Comment: 4 pages, LaTex, Talk presented at the KEK-Tanashi International
Symposium on ``Physics of Hadrons and Nuclei'', Dec. 14-17, 1998 Tokyo,
Japan, Submitted to Nuclear Physics
Recursive Video Lane Detection
A novel algorithm to detect road lanes in videos, called recursive video lane
detector (RVLD), is proposed in this paper, which propagates the state of a
current frame recursively to the next frame. RVLD consists of an intra-frame
lane detector (ILD) and a predictive lane detector (PLD). First, we design ILD
to localize lanes in a still frame. Second, we develop PLD to exploit the
information of the previous frame for lane detection in a current frame. To
this end, we estimate a motion field and warp the previous output to the
current frame. Using the warped information, we refine the feature map of the
current frame to detect lanes more reliably. Experimental results show that
RVLD outperforms existing detectors on video lane datasets. Our codes are
available at https://github.com/dongkwonjin/RVLD.Comment: ICCV 2023 accepte
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