the purpose of present study was investigation of the effect of attentional focus of novice players’ self-statements in basketball free throw practice on their state anxiety in transfer test with spectators’ presence. therefore, 38 novice females (mean of the age=22 yrs.) who had intermediate trait anxiety were selected randomly by sports competitive anxiety test (scat). the participants were a...

Simple methods to study attention dynamics in challenging research and practical applications are limited. We explored the utility of examining attention dynamics during free looking with steady-state visual evoked potentials (SSVEPs), which reflect the effects of attention on early sensory processing. This method can be used with participants who cannot follow verbal instructions and patients ...

The accurate segmentation of colorectal polyps is great significance for the diagnosis and treatment cancer. However, faces complex problems such as low contrast in peripheral region salient images, blurred borders, diverse shapes. In addition, number traditional UNet network parameters large effect average. To overcome these problems, an innovative nonlinear activation-free uncertainty context...

Enormous progress has been made in face detection tasks due to the rapid development of deep learning techniques. Meanwhile, debates arise on whether should be treated as a generic object task or considered differently. In this paper, we design an efficient anchor-free detector that focuses low flops regime and combines recent advances with methods for detecting tiny faces. Specifically, adopt ...

Automated audio captioning aims to describe data with captions using natural language. Existing methods often employ an encoder-decoder structure, where the attention-based decoder (e.g., Transformer decoder) is widely used and achieves state-of-the-art performance. Although this method effectively captures global information within via self-attention mechanism, it may ignore event short time d...

Free space detection is a very important task in road scene understanding. With the continued development of convolutional neural networks, free-space can be seen as class-specific semantic segmentation problem. In this paper, new encoding–decoding network structure-HRUnet designed, which always maintains input high-resolution images both encoding and decoding phases. It extracts multi-scale in...