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Inductive learning spatial attention [PDF]
This paper investigates the automatic induction of spatial attention from the visual observation of objects manipulated on a table top. In this work, space is represented in terms of a novel observer-object relative reference system, named Local ...
Baluja S. +33 more
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Spatial distribution of the attentional blink [PDF]
In the present study subjects viewed streams of rapid serially presented characters and searched for a target digit. After presentation of the target digit, a second target consisting of an orientation singleton (Experiment 1) or a second digit ...
FENG eDU, Richard eAbrams, Kan eZhang
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IntroductionOn Earth, self-produced somatosensory stimuli are typically perceived as less intense than externally generated stimuli of the same intensity, a phenomenon referred to as somatosensory attenuation (SA).
Roberto Gammeri +10 more
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Decoding Visual Spatial Attention Control [PDF]
AbstractIn models of visual spatial attention control, it is commonly held that top-down control signals originate in the dorsal attention network, propagating to the visual cortex to modulate baseline neural activity and bias sensory processing. However, the precise distribution of these top-down influences across different levels of the visual ...
Sreenivasan Meyyappan +4 more
openaire +3 more sources
Spatial Attention Guided Residual Attention Network for Hyperspectral Image Classification
Hyperspectral image (HSI) classification has become a research hotspot. Recently, deep learning-based methods have achieved preferable performances by which the deep spectral-spatial features can be extracted from HSI cubes.
Ningyang Li, Zhaohui Wang
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Multibranch Attention Mechanism Based on Channel and Spatial Attention Fusion
Recently, it has been demonstrated that the performance of an object detection network can be improved by embedding an attention module into it. In this work, we propose a lightweight and effective attention mechanism named multibranch attention (M3Att).
Guojun Mao +3 more
doaj +1 more source
A Spatio-Temporal Motion Network for Action Recognition Based on Spatial Attention
Temporal modeling is the key for action recognition in videos, but traditional 2D CNNs do not capture temporal relationships well. 3D CNNs can achieve good performance, but are computationally intensive and not well practiced on existing devices.
Qi Yang, Tongwei Lu, Huabing Zhou
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Emotional content overrides spatial attention [PDF]
AbstractSpatial attention is our capacity to attend to or ignore particular regions of our spatial environment. However, some classes of stimuli may be able to override our efforts to ignore them. Here we assessed the relationship between involuntary attentional capture with emotional images and spatial attention at early stages of perceptual ...
Valeria Bekhtereva +2 more
openaire +3 more sources
Spatial attention during saccade decisions [PDF]
Behavioral measures of decision making are usually limited to observations of decision outcomes. In the present study, we made use of the fact that oculomotor and sensory selection are closely linked to track oculomotor decision making before oculomotor responses are made.
Donatas Jonikaitis +2 more
openaire +2 more sources
MAS-UNet: a U-shaped network for prostate segmentation
Prostate cancer is a common disease that seriously endangers the health of middle-aged and elderly men. MRI images are the gold standard for assessing the health status of the prostate region.
YuQi Hong +4 more
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