Conditional Cross Attention Network for Multi-Space Embedding without Entanglement in Only a SINGLE Network

Many studies in vision tasks have aimed to create effective embedding spaces for single-label object prediction within an image. However, in reality, most objects possess multiple specific attributes, such as shape, color, and length, with each attribute composed of various classes. To apply models in real-world scenarios, it is essential to be able to distinguish between the granular components of an object. Conventional approaches to embedding multiple specific attributes into a single network often result in entanglement, where fine-grained features of each attribute cannot be identified separately. To address this problem, we propose a Conditional Cross-Attention Network that induces disentangled multi-space embeddings for various specific attributes with only a single backbone. Firstly, we employ a cross-attention mechanism to fuse and switch the information of conditions (specific attributes), and we demonstrate its effectiveness through a diverse visualization example. Secondly, we leverage the vision transformer for the first time to a fine-grained image retrieval task and present a simple yet effective framework compared to existing methods. Unlike previous studies where performance varied depending on the benchmark dataset, our proposed method achieved consistent state-of-the-art performance on the FashionAI, DARN, DeepFashion, and Zappos50K benchmark datasets.Comment: ICCV 2023 Accepte

Cultural Context or Generational Cohort: Which Influences Tourist Behavior More?

According to most academics, different generations share common characteristics. This undoubtedly helps to better understand their behavior in different scenarios, predicting their responses. However, this seems questionable and that is the main purpose of this study. This research, although preliminary, try to confirm if millennials have common characteristics, or if, on the contrary, there are differences between them due to the culture in which they are immersed. To this end, it has been contextualized in a sector that is very sensitive to cultural differences, such as tourism. Data collection was carried out through a questionnaire administered in 2019 via e-mail to young South Korean and Spanish millennials (born 1982–2002). The results suggest that there do not appear to be common personality traits between the countries analyzed. The differences between the two groups for most personality traits and travel motivations were significant. The findings of this research provide several practical implications since it will make possible a more appropriate management of the tourist destination

Improved Gastrointestinal Symptoms and Quality of Life after Conversion from Mycophenolate Mofetil to Enteric-Coated Mycophenolate Sodium in Renal Transplant Patients Receiving Tacrolimus

It is reported that a conversion from mycophenolate mofetil (MMF) to enteric-coated mycophenolate sodium (EC-MPS) relieves gastrointestinal (GI) symptom burden and improves health-related quality of life (HRQoL). However, it is unclear whether renal transplant recipients using tacrolimus receive the same benefit from the conversion. In this prospective, multi-center, open-label trial, patients were categorized into two groups by their GI symptom screening. Equimolar EC-MPS (n=175) was prescribed for patients with GI burdens; those with no complaints remained on MMF (n=83). Gastrointestinal Symptom Rating Scale (GSRS) and Gastrointestinal Quality of Life Index (GIQLI) were evaluated at baseline and after one month. Patients and physicians completed Overall Treatment Effect (OTE) at one month. EC-MPS-converted patients had worse GSRS and GIQLI scores at baseline than MMF-continued patients (all P<0.001). Significant improvements in GSRS and GIQLI scores were observed for EC-MPS-converted patients at one month, but MMF-continued patients showed worsened GSRS scores (all P<0.05). OTE scale indicated that EC-MPS patients improved in overall GI symptoms and HRQoL more than MMF patients did (P<0.001). In tacrolimus-treated renal transplant recipients with GI burdens, a conversion from MMF to EC-MPS improves GI-related symptoms and HRQoL

The Nature of Travelers' Unplanned Destination Decisions

158 p.Thesis (Ph.D.)--University of Illinois at Urbana-Champaign, 2004.Study findings indicate that unplanned stops are important part of pleasure trips to Northern Indiana. The results also show that the specificity of a trip plan mediates the relationship between trip/traveler characteristics and the number of unplanned stops. En route situations that describe the environment of a decision regarding planned versus unplanned stops were important to understanding the decision outcomes. An empirical model of travelers' unplanned destination stops verified the salience of situational en route conditions as well as contextual trip characteristics in predicting the likelihood of an unplanned stop at each potential stop place.U of I OnlyRestricted to the U of I community idenfinitely during batch ingest of legacy ETD

Informing destination recommender systems design and evaluation through quantitative research

Purpose - Destination recommender systems need to become truly human-centric in their design and functionality. This requires a profound understanding of human interactions with technology as well as human behavior related to information search and decision-making in the context of travel and tourism. This paper seeks to review relevant theories that can support the development and evaluation of destination recommender systems and to discuss how quantitative research can inform such theory building and testing. Design/methodology/approach - Based on a review of information search and decision-making literatures, a framework for the development of destination recommender systems is proposed and the implications for the design and evaluation of human-centric recommender systems are discussed. Findings - A variety of factors that influence the information search and processing strategies that influence interactions with a destination recommender system are identified. This reveals a great need for data-driven models to inform recommender system processes. Originality/value - The proposed framework provides a basis for future research and development in the area of destination recommender systems. The paper concludes that the success of a specific destination recommender system will depend largely on its ability to anticipate and respond creatively to transformations in the personal and situational needs of its users. Such system intelligence needs to be based on empirical data analyzed with sophisticated quantitative methods. The importance of recommender systems in tourism marketing is also discussed