Abstract This paper describes Guided Search 6.0 (GS6), a revised model of visual search.
When we encounter a scene, we can see something everywhere. However, we cannot …

We review the fast-growing work on salience and economic behavior. Psychological
research shows that salient stimuli attract human attention bottom up due to their high …

While originally designed for natural language processing tasks, the self-attention
mechanism has recently taken various computer vision areas by storm. However, the 2D …

Remote sensing image change detection (CD) is done to identify desired significant
changes between bitemporal images. Given two co-registered images taken at different …

In recent years, with the rapid development of the economy, more and more people begin to
invest into the stock market. Accurately predicting the change of stock price can reduce the …

We review the central tenets and neuroanatomical basis of the global neuronal workspace
(GNW) hypothesis, which attempts to account for the main scientific observations regarding …

Stock market prediction has been a classical yet challenging problem, with the attention from
both economists and computer scientists. With the purpose of building an effective prediction …

Mental representations remain the central posits of psychology after many decades of
scrutiny. However, there is no consensus about the representational format (s) of biological …

Deep neural networks (DNNs) have had extraordinary successes in classifying
photographic images of objects and are often described as the best models of biological …

Contemporary neural networks still fall short of human-level generalization, which extends
far beyond our direct experiences. In this paper, we argue that the underlying cause for this …