Study 2 uses two objective measures of visual perception/attention linked to autistic traits: Change Blindness and detection of local embedded figures. Both measures are shown here to be sensitive to the Attention-to-detail subscale of the AQ, and synaesthetes outperformed controls on both tasks. ...
In detail, we randomly crop samples of size 600 × 600 pixels before noise synthesis. Then, the resulting noisy video frames are again randomly cropped to 128 × 128 pixels and fed to the denoising net- work for training. It is important to note that the ...
system for bringing the attention of the syn - or hearing-impaired persons or persons in noisy environmentThe receiver worn by a sight or heating-handicapped person receives signals from a transmitter which is activated by a door bell, telephone, or similar. A physical signal is provided by a...
In the literature, a large number of attempts have been made to solve CD problems using deep learning techniques [11,12,13,14]. Among these, convolutional neural network (CNN) has emerged as the most commonly used architecture due to its ability to preserve fine detail. To extract ...
To achieve this goal, the fact verification task [1,2] is proposed to evaluate the authenticity of a given claim based on the evidence sentences retrieved from external knowledge sources, e.g., Wikipedia. In detail, the authenticity is judged by the labels of “SUPPORT”, “REFUTE” or “...
To achieve this goal, the fact verification task [1,2] is proposed to evaluate the authenticity of a given claim based on the evidence sentences retrieved from external knowledge sources, e.g., Wikipedia. In detail, the authenticity is judged by the labels of “SUPPORT”, “REFUTE” or “...