Results 11 to 20 of about 6,818,996 (307)
A Spatio-Temporal Motion Network for Action Recognition Based on Spatial Attention
Entropy, 2022 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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Learning Spatial Attention for Face Super-Resolution [PDF]
IEEE Transactions on Image Processing, 2020 General image super-resolution techniques have difficulties in recovering detailed face structures when applying to low resolution face images. Recent deep learning based methods tailored for face images have achieved improved performance by jointly ...
Chaofeng Chen +4 more
semanticscholar +1 more source
Emotional content overrides spatial attention [PDF]
Psychophysiology, 2021 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
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Nature Communications, 2021 Covert spatial attention is associated with spatial modulation of neural activity as well as with directional biases in fixational eye movements known as microsaccades. We studied how these two ‘fingerprints’ of attention are interrelated in humans.
Baiwei Liu, A. Nobre, F. van Ede
semanticscholar +1 more source
Coordinate Attention for Efficient Mobile Network Design [PDF]
Computer Vision and Pattern Recognition, 2021 Recent studies on mobile network design have demonstrated the remarkable effectiveness of channel attention (e.g., the Squeeze-and-Excitation attention) for lifting model performance, but they generally neglect the positional information, which is ...
Qibin Hou, Daquan Zhou, Jiashi Feng
semanticscholar +1 more source
An Empirical Study of Spatial Attention Mechanisms in Deep Networks [PDF]
IEEE International Conference on Computer Vision, 2019 Attention mechanisms have become a popular component in deep neural networks, yet there has been little examination of how different influencing factors and methods for computing attention from these factors affect performance.
Xizhou Zhu +4 more
semanticscholar +1 more source
Spatial attention during saccade decisions [PDF]
Journal of Neurophysiology, 2017 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
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VSGNet: Spatial Attention Network for Detecting Human Object Interactions Using Graph Convolutions [PDF]
Computer Vision and Pattern Recognition, 2020 Comprehensive visual understanding requires detection frameworks that can effectively learn and utilize object interactions while analyzing objects individually. This is the main objective in Human-Object Interaction (HOI) detection task.
Oytun Ulutan +2 more
semanticscholar +1 more source
MAS-UNet: a U-shaped network for prostate segmentation
Frontiers in Medicine, 2023 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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Unveiling residual, spontaneous recovery from subtle hemispatial neglect three years after stroke
Frontiers in Human Neuroscience, 2015 A common and disabling consequence of stroke is the difficulty in processing contralesional space (i.e. hemispatial neglect). According to paper-and-pencil tests, neglect remits or stabilizes in severity within a few months after a brain injury.
Mario eBonato
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