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Qian Zhou, Hua Zou and Huanhuan Wu
Vision Transformers (ViTs) have shown their superiority in various visual tasks for the capability of self-attention mechanisms to model long-range dependencies. Some recent works try to reduce the high cost of vision transformers by limiting the self-at...
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Tian Xie, Weiping Ding, Jinbao Zhang, Xusen Wan and Jiehua Wang
The discipline of automatic image captioning represents an integration of two pivotal branches of artificial intelligence, namely computer vision (CV) and natural language processing (NLP). The principal functionality of this technology lies in transmuti...
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Raquel Hijón-Neira, Cornelia Connolly, Celeste Pizarro and Diana Pérez-Marín
There is a growing interest in finding new ways to address the difficult task of introducing programming to secondary students for the first time to improve students? computational thinking (CT) skills. Therefore, extensive research is required in this f...
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Raquel Hijón-Neira, Celeste Pizarro, John French, Pedro Paredes-Barragán and Michael Duignan
Students in their first year of computer science (CS1) at universities typically struggle to grasp fundamental programming concepts. This paper discusses research carried out using a Java-based visual execution environment (VEE) to introduce fundamental ...
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Theodoros Psallidas and Evaggelos Spyrou
During the last few years, several technological advances have led to an increase in the creation and consumption of audiovisual multimedia content. Users are overexposed to videos via several social media or video sharing websites and mobile phone appli...
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