Sneaker speculation is one of the most attractive economic phenomena.The purpose of the paper is to avoid too many consumers blindly following the trend to join the sneaker speculation and eventually causes financial ...Sneaker speculation is one of the most attractive economic phenomena.The purpose of the paper is to avoid too many consumers blindly following the trend to join the sneaker speculation and eventually causes financial lost due to the sneaker speculation trend being too hot.This study is one of the first few attempts to analyze every aspect of sneaker speculation and give youth suggestion on purchasing sneakers.First,this paper analyzed the cause and influential aspect of sneaker speculation,and made a preliminary analysis for readers who first enter the sneaker market.Second,the risk of sneaker speculation was analyzed.Then,suggestions for the youth to establish correct values and consumption concept were given.Finally,the conclusion suggested that the price of sneakers is too high over their value,consumers should buy sneaker rationally.Hopefully,consumers can establish a more rational consumption concept for consumers.More powerfully regulated sneaker market is necessary,so that the price of sneakers is more reasonable and affordable for consumers.展开更多
Shoes are indispensable to people’s daily life, just as the old Chinese saying goes,"A thousand-Li journey is started by taking the first step." China has always been a big shoe-making country, for it has a...Shoes are indispensable to people’s daily life, just as the old Chinese saying goes,"A thousand-Li journey is started by taking the first step." China has always been a big shoe-making country, for it has a huge population of over one billion. Its annual output of shoes is more than four billion pairs, accounting for 40% of the world’s total. In 1995, China exported 2.54 billion pairs of shoes, making it the largest exporter in the world.展开更多
To protect consumers and those who manufacture and sell the products they enjoy,it is important to develop convenient tools to help consumers distinguish an authentic product from a counterfeit one.The advancement of ...To protect consumers and those who manufacture and sell the products they enjoy,it is important to develop convenient tools to help consumers distinguish an authentic product from a counterfeit one.The advancement of deep learning techniques for fine-grained object recognition creates new possibilities for genuine product identification.In this paper,we develop a Semi-Supervised Attention(SSA)model to work in conjunction with a large-scale multiple-source dataset named YSneaker,which consists of sneakers from various brands and their authentication results,to identify authentic sneakers.Specifically,the SSA model has a self-attention structure for different images of a labeled sneaker and a novel prototypical loss is designed to exploit unlabeled data within the data structure.The model draws on the weighted average of the output feature representations,where the weights are determined by an additional shallow neural network.This allows the SSA model to focus on the most important images of a sneaker for use in identification.A unique feature of the SSA model is its ability to take advantage of unlabeled data,which can help to further minimize the intra-class variation for more discriminative feature embedding.To validate the model,we collect a large number of labeled and unlabeled sneaker images and perform extensive experimental studies.The results show that YSneaker together with the proposed SSA architecture can identify authentic sneakers with a high accuracy rate.展开更多
Chinese basketball superstar retires but his legacy will live on It was a sad day for basketball fans.On July 20,China’s basketball icon Yao Ming held a news conference in his
文摘Sneaker speculation is one of the most attractive economic phenomena.The purpose of the paper is to avoid too many consumers blindly following the trend to join the sneaker speculation and eventually causes financial lost due to the sneaker speculation trend being too hot.This study is one of the first few attempts to analyze every aspect of sneaker speculation and give youth suggestion on purchasing sneakers.First,this paper analyzed the cause and influential aspect of sneaker speculation,and made a preliminary analysis for readers who first enter the sneaker market.Second,the risk of sneaker speculation was analyzed.Then,suggestions for the youth to establish correct values and consumption concept were given.Finally,the conclusion suggested that the price of sneakers is too high over their value,consumers should buy sneaker rationally.Hopefully,consumers can establish a more rational consumption concept for consumers.More powerfully regulated sneaker market is necessary,so that the price of sneakers is more reasonable and affordable for consumers.
文摘Shoes are indispensable to people’s daily life, just as the old Chinese saying goes,"A thousand-Li journey is started by taking the first step." China has always been a big shoe-making country, for it has a huge population of over one billion. Its annual output of shoes is more than four billion pairs, accounting for 40% of the world’s total. In 1995, China exported 2.54 billion pairs of shoes, making it the largest exporter in the world.
基金supported by the National Key R&D Program of China(No.2018YFB1004300)the National Natural Science Foundation of China(Nos.61773198,61632004,and 61751306)+2 种基金the National Natural Science Foundation of China-Korea Research Foundation Joint Research Project(No.61861146001)Collaborative Innovation Center of Novel Software Technology and IndustrializationPostgraduate Research&Practice Innovation Program of Jiangsu Province(No.KYCX180045).
文摘To protect consumers and those who manufacture and sell the products they enjoy,it is important to develop convenient tools to help consumers distinguish an authentic product from a counterfeit one.The advancement of deep learning techniques for fine-grained object recognition creates new possibilities for genuine product identification.In this paper,we develop a Semi-Supervised Attention(SSA)model to work in conjunction with a large-scale multiple-source dataset named YSneaker,which consists of sneakers from various brands and their authentication results,to identify authentic sneakers.Specifically,the SSA model has a self-attention structure for different images of a labeled sneaker and a novel prototypical loss is designed to exploit unlabeled data within the data structure.The model draws on the weighted average of the output feature representations,where the weights are determined by an additional shallow neural network.This allows the SSA model to focus on the most important images of a sneaker for use in identification.A unique feature of the SSA model is its ability to take advantage of unlabeled data,which can help to further minimize the intra-class variation for more discriminative feature embedding.To validate the model,we collect a large number of labeled and unlabeled sneaker images and perform extensive experimental studies.The results show that YSneaker together with the proposed SSA architecture can identify authentic sneakers with a high accuracy rate.
文摘Chinese basketball superstar retires but his legacy will live on It was a sad day for basketball fans.On July 20,China’s basketball icon Yao Ming held a news conference in his
