Results 251 to 260 of about 6,818,996 (307)

Multimodal Object Detection by Channel Switching and Spatial Attention

2023 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW), 2023
Multimodal object detection has attracted great attention in recent years since the information specific to different modalities can complement each other and effectively improve the accuracy and stability of the detection model.
Yue Cao, Junchi Bin, Jozsef Hamari, Erik Blasch, Zheng Liu   +4 more
semanticscholar   +1 more source

Breathing Shifts Visuo-Spatial Attention

Cognition, 2023
Considering recent findings that breathing influences cognitive processes, two experiments explored the relationship between breathing and visuo-spatial attention. In Experiment 1, a lateralized probe detection task was inserted into the breathing cycles of 21 healthy adults to probe effects of breathing on the distribution of spatial attention.
Francesco, Belli, Martin H, Fischer
openaire   +2 more sources

FSAD-Net: Feedback Spatial Attention Dehazing Network

IEEE Transactions on Neural Networks and Learning Systems, 2022
Recent dehazing networks learn more discriminative high-level features by designing deeper networks or introducing complicated structures, while ignoring inherent feature correlations in intermediate layers.
Yu Zhou, Zhihua Chen, Ieee Ping Li Member, Haitao Song, Ieee C. L. Philip Chen Fellow, Ieee Bin Sheng Member   +5 more
semanticscholar   +1 more source

Spectral Partitioning Residual Network With Spatial Attention Mechanism for Hyperspectral Image Classification

IEEE Transactions on Geoscience and Remote Sensing, 2022
Hyperspectral image (HSI) classification is one of the most important tasks in hyperspectral data analysis. Convolutional neural networks (CNN) have been introduced to HSI classification and achieved good performance.
Xiangrong Zhang, Shouwang Shang, Xu Tang, Jie Feng, L. Jiao   +4 more
semanticscholar   +1 more source

A Spectral and Spatial Attention Network for Change Detection in Hyperspectral Images

IEEE Transactions on Geoscience and Remote Sensing, 2021
Hyperspectral images (HSIs) contain rich spectral signatures which reveal more image details and thus enable the detection of less noticeable changes on the ground. However, HSI based change detection (CD) is susceptible to the large amount of irrelevant
Maoguo Gong, Fenlong Jiang, A. Qin, Tongfei Liu, Tao Zhan, Di Lu, Hanhong Zheng, Mingyang Zhang   +7 more
semanticscholar   +1 more source

Spatial attention freezes during the attention blink

Psychophysiology, 2006
AbstractA variant of the rapid serial visual presentation paradigm was used to display sequentially two lateral sequences of stimuli, one to the left and one to the right of fixation, embedding two pairs of target stimuli, T1 and T2. T1 was composed of a pair of alphanumeric characters, and subjects had either to ignore T1 or to encode T1 for a delayed
Roberto Dell'Acqua, Paola Sessa, Pierre Jolicoeur, Nicolas Robitaille   +3 more
openaire   +2 more sources

Spectral–Spatial Morphological Attention Transformer for Hyperspectral Image Classification

IEEE Transactions on Geoscience and Remote Sensing, 2023
In recent years, convolutional neural networks (CNNs) have drawn significant attention for the classification of hyperspectral images (HSIs). Due to their self-attention mechanism, the vision transformer (ViT) provides promising classification ...
S. K. Roy, Ankur Deria, Chiranjibi Shah, J. Haut, Q. Du, A. Plaza   +5 more
semanticscholar   +1 more source

Spatial Attention Pyramid Network for Unsupervised Domain Adaptation

European Conference on Computer Vision, 2020
Unsupervised domain adaptation is critical in various computer vision tasks, such as object detection, instance segmentation, and semantic segmentation, which aims to alleviate performance degradation caused by domain-shift. Most of previous methods rely
Congcong Li, Dawei Du, Libo Zhang, Longyin Wen, Tiejian Luo, Y. Wu, Pengfei Zhu   +6 more
semanticscholar   +1 more source

Hemispheric control of spatial attention

Brain and Cognition, 1990
According to the activation-orienting hypothesis the distribution of attention in space is biased in the direction contralateral to the more activated hemisphere. The present investigation tested this proposal and evaluated the nature of hemispheric differences in orienting control. Activation imbalance was produced by a unilateral visual stimulus. The
P A, Reuter-Lorenz, M, Kinsbourne, M, Moscovitch   +2 more
openaire   +2 more sources

Spatial attention and eye movements

Experimental Brain Research, 1995
We previously showed that when attention is allocated to the right or left of the fixation point, saccades directed to targets located above or below the fixation point deviate contralateral to the attention locus. In the present study, we examined how general this phenomenon is and whether the amount of saccade deviation depends on the location of ...
Boris M. Sheliga, Giacomo Rizzolatti, RIGGIO, Lucia   +2 more
openaire   +2 more sources