Visible-infrared person re-identification(VIPR), is a cross-modal retrieval task that searches a target from a gallery captured by cameras of different spectrums.The severe challenge for VIPR is the large intra-class ...Visible-infrared person re-identification(VIPR), is a cross-modal retrieval task that searches a target from a gallery captured by cameras of different spectrums.The severe challenge for VIPR is the large intra-class variation caused by the modal discrepancy between visible and infrared images.For that, this paper proposes a query related cluster(QRC) method for VIPR.Firstly, this paper uses an attention mechanism to calculate the similarity relation between a visible query and infrared images with the same identity in the gallery.Secondly, those infrared images with the same query images are aggregated by using the similarity relation to form a dynamic clustering center corresponding to the query image.Thirdly, QRC loss function is designed to enlarge the similarity between the query image and its dynamic cluster center to achieve query related clustering, so as to compact the intra-class variations.Consequently, in the proposed QRC method, each query has its own dynamic clustering center, which can well characterize intra-class variations in VIPR.Experimental results demonstrate that the proposed QRC method is superior to many state-of-the-art approaches, acquiring a 90.77% rank-1 identification rate on the RegDB dataset.展开更多
ERP systems have become an optimal solution for companies to perform their works with maximum advantages of Enterprise Resources Planning (ERP). Moreover, even though the cloud computing has many obstacles which need ...ERP systems have become an optimal solution for companies to perform their works with maximum advantages of Enterprise Resources Planning (ERP). Moreover, even though the cloud computing has many obstacles which need to be solved, but the enterprises always embrace the cloud. Many enterprises tend to adopt the cloud computing paradigm in order to get its leverage in successful and benefits. With the development of cloud computing technology, there is a growing orientation to move the ERP from inside boundaries of organizations into the cloud computing technologies. In addition, there were many studies that covered the cloud ERP without concentrating on acceptance the end user for this technology. Thus, this study comes to increase the understanding the attitude of the end user for cloud ERP technology. The main aim of this study is to investigate the employees’ attitude towards use of cloud ERP. The conceptual research framework of cloud ERP is prepared based on the technology acceptance model (TAM). The employees of Queen Rania Center (QRC) in Jordanian Education Ministry used the cloud ERP system which implemented according to this study. The questionnaires are distributed online to the sample. The results indicate that the QRC employees enjoyed using the cloud ERP system.展开更多
基金Supported by the National Natural Science Foundation of China (No.61976098)the Natural Science Foundation for Outstanding Young Scholars of Fujian Province (No.2022J06023)。
文摘Visible-infrared person re-identification(VIPR), is a cross-modal retrieval task that searches a target from a gallery captured by cameras of different spectrums.The severe challenge for VIPR is the large intra-class variation caused by the modal discrepancy between visible and infrared images.For that, this paper proposes a query related cluster(QRC) method for VIPR.Firstly, this paper uses an attention mechanism to calculate the similarity relation between a visible query and infrared images with the same identity in the gallery.Secondly, those infrared images with the same query images are aggregated by using the similarity relation to form a dynamic clustering center corresponding to the query image.Thirdly, QRC loss function is designed to enlarge the similarity between the query image and its dynamic cluster center to achieve query related clustering, so as to compact the intra-class variations.Consequently, in the proposed QRC method, each query has its own dynamic clustering center, which can well characterize intra-class variations in VIPR.Experimental results demonstrate that the proposed QRC method is superior to many state-of-the-art approaches, acquiring a 90.77% rank-1 identification rate on the RegDB dataset.
文摘ERP systems have become an optimal solution for companies to perform their works with maximum advantages of Enterprise Resources Planning (ERP). Moreover, even though the cloud computing has many obstacles which need to be solved, but the enterprises always embrace the cloud. Many enterprises tend to adopt the cloud computing paradigm in order to get its leverage in successful and benefits. With the development of cloud computing technology, there is a growing orientation to move the ERP from inside boundaries of organizations into the cloud computing technologies. In addition, there were many studies that covered the cloud ERP without concentrating on acceptance the end user for this technology. Thus, this study comes to increase the understanding the attitude of the end user for cloud ERP technology. The main aim of this study is to investigate the employees’ attitude towards use of cloud ERP. The conceptual research framework of cloud ERP is prepared based on the technology acceptance model (TAM). The employees of Queen Rania Center (QRC) in Jordanian Education Ministry used the cloud ERP system which implemented according to this study. The questionnaires are distributed online to the sample. The results indicate that the QRC employees enjoyed using the cloud ERP system.
