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Visual search: How do we find what we are looking for?
JM Wolfe - Annual review of vision science, 2020 - annualreviews.org
In visual search tasks, observers look for targets among distractors. In the lab, this often
takes the form of multiple searches for a simple shape that may or may not be present …
takes the form of multiple searches for a simple shape that may or may not be present …
Information-seeking, curiosity, and attention: computational and neural mechanisms
Intelligent animals devote much time and energy to exploring and obtaining information, but
the underlying mechanisms are poorly understood. We review recent developments on this …
the underlying mechanisms are poorly understood. We review recent developments on this …
Coordinate attention for efficient mobile network design
Recent studies on mobile network design have demonstrated the remarkable effectiveness
of channel attention (eg, the Squeeze-and-Excitation attention) for lifting model performance …
of channel attention (eg, the Squeeze-and-Excitation attention) for lifting model performance …
40 years of cognitive architectures: core cognitive abilities and practical applications
In this paper we present a broad overview of the last 40 years of research on cognitive
architectures. To date, the number of existing architectures has reached several hundred …
architectures. To date, the number of existing architectures has reached several hundred …
Revisiting active perception
Despite the recent successes in robotics, artificial intelligence and computer vision, a
complete artificial agent necessarily must include active perception. A multitude of ideas and …
complete artificial agent necessarily must include active perception. A multitude of ideas and …
Attentional correlation filter network for adaptive visual tracking
We propose a new tracking framework with an attentional mechanism that chooses a subset
of the associated correlation filters for increased robustness and computational efficiency …
of the associated correlation filters for increased robustness and computational efficiency …
YOLOv5s-CA: a modified YOLOv5s network with coordinate attention for underwater target detection
Underwater target detection techniques have been extensively applied to underwater
vehicles for marine surveillance, aquaculture, and rescue applications. However, due to …
vehicles for marine surveillance, aquaculture, and rescue applications. However, due to …
We know what attention is!
W Wu - Trends in Cognitive Sciences, 2024 - cell.com
Attention is one of the most thoroughly investigated psychological phenomena, yet
skepticism about attention is widespread: we do not know what it is, it is too many things …
skepticism about attention is widespread: we do not know what it is, it is too many things …
Multiscale attention networks for pavement defect detection
Pavement defects such as cracks, net cracks, and pit slots can cause potential traffic safety
problems. The timely detection and identification play a key role in reducing the harm of …
problems. The timely detection and identification play a key role in reducing the harm of …
50 years of object recognition: Directions forward
Object recognition systems constitute a deeply entrenched and omnipresent component of
modern intelligent systems. Research on object recognition algorithms has led to advances …
modern intelligent systems. Research on object recognition algorithms has led to advances …