منابع مشابه
Learning to Pay Attention
1188 Our sensory system is constantly bombarded with inputs, but owing to the brain's fi nite processing power, we are forced to pay attention to only a tiny proportion of these inputs at any given time. In a new study, Richard Davidson and colleagues report that intensive training in meditation can alter the way in which the brain allocates attentional resources to important stimuli, allowing ...
متن کاملLearn To Pay Attention
We propose an end-to-end-trainable attention module for convolutional neural network (CNN) architectures built for image classification. The module takes as input the 2D feature vector maps which form the intermediate representations of the input image at different stages in the CNN pipeline, and outputs a 2D matrix of scores for each map. Standard CNN architectures are modified through the inc...
متن کاملPay Attention When Selecting Features
In this paper, we propose a new approach for landmark selection for simultaneous robot localization and mapping based on visual sensors (VSLAM): a biologically motivated attention system finds regions of interest with high information content, and at these regions, Harris corners are detected. This combines the advantages of the ROIs (reducing complexity, enabling good redetactability of region...
متن کاملPay attention! Attention to the primes increases attitude assessment accuracy
We demonstrate that an oft-used indirect attitude assessment technique—the attitude activation paradigm—accurately assesses attitudes only when participants attend to the prime stimuli during the attitude activation task. Attitude activation attitudes toward obviously valenced words (e.g., torture, liberty) were more sensitive to attitude valence and extremity when participants were required to...
متن کاملWhat does Attention in Neural Machine Translation Pay Attention to?
Attention in neural machine translation provides the possibility to encode relevant parts of the source sentence at each translation step. As a result, attention is considered to be an alignment model as well. However, there is no work that specifically studies attention and provides analysis of what is being learned by attention models. Thus, the question still remains that how attention is si...
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ژورنال
عنوان ژورنال: Science
سال: 2013
ISSN: 0036-8075,1095-9203
DOI: 10.1126/science.341.6148.821-a