Results 31 to 40 of about 6,818,996 (307)

SPA-GAN: Spatial Attention GAN for Image-to-Image Translation [PDF]

open access: yesIEEE transactions on multimedia, 2019
Image-to-image translation is to learn a mapping between images from a source domain and images from a target domain. In this paper, we introduce the attention mechanism directly to the generative adversarial network (GAN) architecture and propose a ...
H. Emami   +3 more
semanticscholar   +1 more source

Top-Down Control of Visual Attention by the Prefrontal Cortex. Functional Specialization and Long-Range Interactions

open access: yesFrontiers in Neuroscience, 2017
The ability to select information that is relevant to current behavioral goals is the hallmark of voluntary attention and an essential part of our cognition. Attention tasks are a prime example to study at the neuronal level, how task related information
Sofia Paneri   +3 more
doaj   +1 more source

Spatial Attention Fusion for Obstacle Detection Using MmWave Radar and Vision Sensor

open access: yesItalian National Conference on Sensors, 2020
For autonomous driving, it is important to detect obstacles in all scales accurately for safety consideration. In this paper, we propose a new spatial attention fusion (SAF) method for obstacle detection using mmWave radar and vision sensor, where the ...
Shuo Chang   +6 more
semanticscholar   +1 more source

Noise Exclusion in Spatial Attention [PDF]

open access: yesPsychological Science, 2000
Precue validity affects the performance of perceptual tasks. These spatial attention effects have been variously attributed to facilitation of processing, capacity allocation, or noise reduction. We used a new attention-plus-external (stimulus)-noise paradigm and model to identify the mechanisms of attention in cue-validity paradigms. A new phenomenon
B A, Dosher, Z L, Lu
openaire   +2 more sources

Spectral-Spatial Attention Networks for Hyperspectral Image Classification

open access: yesRemote Sensing, 2019
Many deep learning models, such as convolutional neural network (CNN) and recurrent neural network (RNN), have been successfully applied to extracting deep features for hyperspectral tasks.
Hao Sun   +3 more
semanticscholar   +1 more source

Decoding Adaptive Visuomotor Behavior Mediated by Non-linear Phase Coupling in Macaque Area MT

open access: yesFrontiers in Neuroscience, 2020
The idea that a flexible behavior relies on synchronous neural activity within intra- and inter-associated cortical areas has been a matter of intense research in human and animal neuroscience. The neurophysiological mechanisms underlying this behavioral
Mohammad Bagher Khamechian   +2 more
doaj   +1 more source

Spatial attention in early vision

open access: yesActa Psychologica, 2001
The present study addressed whether the allocation of attention to a particular region in space can prevent processing of distractor information from non-attended regions. A cue indicated the area in visual space where the target singleton would be presented.
Theeuwes, J., Kramer, A.F., Atchley, P.
openaire   +3 more sources

The Thinker: Opposing Directionality of Lighting Bias within Sculptural Artwork

open access: yesFrontiers in Human Neuroscience, 2015
Previous lighting bias research has suggested that individuals tend to perceive the direction of light to come from above and slightly from the left; it has been speculated that this phenomenon is also producing similar lighting preferences within 2 ...
Jennifer Rokaya Sedgewick   +3 more
doaj   +1 more source

A collection of pseudo-words to study multi-talker speech intelligibility without shifts of spatial attention

open access: yesFrontiers in Psychology, 2012
A new collection of pseudo-words was recorded from a single female speaker of American English for use in multi-talker speech intelligibility research.
Kachina eAllen   +2 more
doaj   +1 more source

Contextual cueing: implicit learning and memory of visual context guides spatial attention.

open access: yesCognitive Psychology, 1998
Global context plays an important, but poorly understood, role in visual tasks. This study demonstrates that a robust memory for visual context exists to guide spatial attention.
M. Chun, Yuhong V. Jiang
semanticscholar   +1 more source

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