With the development of human society and the progress of science and technology,people’s cultural cognition has constantly strengthened.With people’s research and thinking,all kinds of cultural education came into ...With the development of human society and the progress of science and technology,people’s cultural cognition has constantly strengthened.With people’s research and thinking,all kinds of cultural education came into being,aesthetic education,moral education,and sports,all play a significant role in people’s physical and mental development,among which the aesthetic education thought advocated by Cai Yuanpei has a great value as guidelines for the significance of personality education.It is of great importance to people’s physical and mental development.展开更多
Aesthetic education for college students is not a static evolution.It involves many factors,of which one of the most important factors is the optimization of their personalities.Therefore,it is necessary to conduct an...Aesthetic education for college students is not a static evolution.It involves many factors,of which one of the most important factors is the optimization of their personalities.Therefore,it is necessary to conduct an in-depth research on aesthetic education and personality optimization of college students,clarify their basic characteristics and attributes,grasp the internal unity of the two,and constantly optimize their personalities through aesthetic education in order to promote the healthy development of college students.展开更多
This paper presented aesthetics' application in strengthening brand garment individuality, through the integrated aesthetics design can develop the personality culture chain of brand garment, this is the supportin...This paper presented aesthetics' application in strengthening brand garment individuality, through the integrated aesthetics design can develop the personality culture chain of brand garment, this is the supporting point for searching for differences, and also it become the key point to make brand from product to sensibility sale.展开更多
Recent image aesthetic assessment methods have achieved remarkable progress due to the emergence of deep convolutional neural networks(CNNs).However,these methods focus primarily on predicting generally perceived pref...Recent image aesthetic assessment methods have achieved remarkable progress due to the emergence of deep convolutional neural networks(CNNs).However,these methods focus primarily on predicting generally perceived preference of an image,making them usually have limited practicability,since each user may have completely different preferences for the same image.To address this problem,this paper presents a novel approach for predicting personalized image aesthetics that fit an individual user’s personal taste.We achieve this in a coarse to fine manner,by joint regression and learning from pairwise rankings.Specifically,we first collect a small subset of personal images from a user and invite him/her to rank the preference of some randomly sampled image pairs.We then search for the K-nearest neighbors of the personal images within a large-scale dataset labeled with average human aesthetic scores,and use these images as well as the associated scores to train a generic aesthetic assessment model by CNN-based regression.Next,we fine-tune the generic model to accommodate the personal preference by training over the rankings with a pairwise hinge loss.Experiments demonstrate that our method can effectively learn personalized image aesthetic preferences,clearly outperforming state-of-the-art methods.Moreover,we show that the learned personalized image aesthetic benefits a wide variety of applications.展开更多
文摘With the development of human society and the progress of science and technology,people’s cultural cognition has constantly strengthened.With people’s research and thinking,all kinds of cultural education came into being,aesthetic education,moral education,and sports,all play a significant role in people’s physical and mental development,among which the aesthetic education thought advocated by Cai Yuanpei has a great value as guidelines for the significance of personality education.It is of great importance to people’s physical and mental development.
文摘Aesthetic education for college students is not a static evolution.It involves many factors,of which one of the most important factors is the optimization of their personalities.Therefore,it is necessary to conduct an in-depth research on aesthetic education and personality optimization of college students,clarify their basic characteristics and attributes,grasp the internal unity of the two,and constantly optimize their personalities through aesthetic education in order to promote the healthy development of college students.
文摘This paper presented aesthetics' application in strengthening brand garment individuality, through the integrated aesthetics design can develop the personality culture chain of brand garment, this is the supporting point for searching for differences, and also it become the key point to make brand from product to sensibility sale.
基金supported partially by the National Key Research and Development Program of China(2018YFB1004903)National Natural Science Foundation of China(61802453,U1911401,U1811461)+1 种基金Fundamental Research Funds for the Central Universities(19lgpy216)Research Projects of Zhejiang Lab(2019KD0AB03).
文摘Recent image aesthetic assessment methods have achieved remarkable progress due to the emergence of deep convolutional neural networks(CNNs).However,these methods focus primarily on predicting generally perceived preference of an image,making them usually have limited practicability,since each user may have completely different preferences for the same image.To address this problem,this paper presents a novel approach for predicting personalized image aesthetics that fit an individual user’s personal taste.We achieve this in a coarse to fine manner,by joint regression and learning from pairwise rankings.Specifically,we first collect a small subset of personal images from a user and invite him/her to rank the preference of some randomly sampled image pairs.We then search for the K-nearest neighbors of the personal images within a large-scale dataset labeled with average human aesthetic scores,and use these images as well as the associated scores to train a generic aesthetic assessment model by CNN-based regression.Next,we fine-tune the generic model to accommodate the personal preference by training over the rankings with a pairwise hinge loss.Experiments demonstrate that our method can effectively learn personalized image aesthetic preferences,clearly outperforming state-of-the-art methods.Moreover,we show that the learned personalized image aesthetic benefits a wide variety of applications.
