Comic character detection is becoming an exciting and growing research area in the domain of machine learning.In this regard,recently,many methods are proposed to provide adequate performance.However,most of these met...Comic character detection is becoming an exciting and growing research area in the domain of machine learning.In this regard,recently,many methods are proposed to provide adequate performance.However,most of these methods utilized the custom datasets,containing a few hundred images and fewer classes,to evaluate the performances of their models without comparing it,with some standard datasets.This article takes advantage of utilizing a standard publicly dataset taken from a competition,and proposes a generic data balancing technique for imbalanced dataset to enhance and enable the in-depth training of the CNN.In addition,to classify the superheroes efficiently,a custom 17-layer deep convolutional neural network is also proposed.The computed results achieved overall classification accuracy of 97.9%which is significantly superior to the accuracy of competition’s winner.展开更多
Black Panther is the first superhero film in Marvel’s history that is directed and acted predominantly by African-American artists.The complementary academic review,high box office and audience rating are highly attr...Black Panther is the first superhero film in Marvel’s history that is directed and acted predominantly by African-American artists.The complementary academic review,high box office and audience rating are highly attributed to the political elements embodied in the movie.A breakthrough is achieved in the conventional cinematic image of the African-American man through the creation of a black hero playing the role of world savior.It also presents a prosperous and advanced image of Africa,fulfilling and expanding the African-American people’s imagination of their spiritual home.Moreover,in responding to the Black Panther movement in black history,the film implicitly explores three possible routes of struggle for the black ethnic group and conveys a political message to the audience.展开更多
Although a lot of scholars attempted to arouse some new passion toward further political research on“superhero”for which they combed through the history of the“superhero”development,whether“superhero”is truly wo...Although a lot of scholars attempted to arouse some new passion toward further political research on“superhero”for which they combed through the history of the“superhero”development,whether“superhero”is truly worth such efforts remains a question to be reviewed.Can the phenomena of“superhero”really stand by itself as a social element when its characteristics of the times have been stripped off?Does“superhero”today have any essential differences with“god”of the past?Do the“superhero”phenomena belong only to the U.S.political culture?Can one unique political rule or theory be directed from it?Varied answers to the questions may have led scholars to greatly different conclusions.展开更多
Jinpa, the sixth feature film by Tibetan director Pema Tseden, hit the screen on April 26, two days after U.S. superhero film Avengers: Endgame premiered in China. It bagged a box office income of over 10 million yuan...Jinpa, the sixth feature film by Tibetan director Pema Tseden, hit the screen on April 26, two days after U.S. superhero film Avengers: Endgame premiered in China. It bagged a box office income of over 10 million yuan ($1.47 million) as of May 8 with an audience of 300,000.展开更多
文摘Comic character detection is becoming an exciting and growing research area in the domain of machine learning.In this regard,recently,many methods are proposed to provide adequate performance.However,most of these methods utilized the custom datasets,containing a few hundred images and fewer classes,to evaluate the performances of their models without comparing it,with some standard datasets.This article takes advantage of utilizing a standard publicly dataset taken from a competition,and proposes a generic data balancing technique for imbalanced dataset to enhance and enable the in-depth training of the CNN.In addition,to classify the superheroes efficiently,a custom 17-layer deep convolutional neural network is also proposed.The computed results achieved overall classification accuracy of 97.9%which is significantly superior to the accuracy of competition’s winner.
文摘Black Panther is the first superhero film in Marvel’s history that is directed and acted predominantly by African-American artists.The complementary academic review,high box office and audience rating are highly attributed to the political elements embodied in the movie.A breakthrough is achieved in the conventional cinematic image of the African-American man through the creation of a black hero playing the role of world savior.It also presents a prosperous and advanced image of Africa,fulfilling and expanding the African-American people’s imagination of their spiritual home.Moreover,in responding to the Black Panther movement in black history,the film implicitly explores three possible routes of struggle for the black ethnic group and conveys a political message to the audience.
文摘Although a lot of scholars attempted to arouse some new passion toward further political research on“superhero”for which they combed through the history of the“superhero”development,whether“superhero”is truly worth such efforts remains a question to be reviewed.Can the phenomena of“superhero”really stand by itself as a social element when its characteristics of the times have been stripped off?Does“superhero”today have any essential differences with“god”of the past?Do the“superhero”phenomena belong only to the U.S.political culture?Can one unique political rule or theory be directed from it?Varied answers to the questions may have led scholars to greatly different conclusions.
文摘Jinpa, the sixth feature film by Tibetan director Pema Tseden, hit the screen on April 26, two days after U.S. superhero film Avengers: Endgame premiered in China. It bagged a box office income of over 10 million yuan ($1.47 million) as of May 8 with an audience of 300,000.
