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STAT: Spatial-Temporal Attention Mechanism for Video Captioning
IEEE transactions on multimedia, 2020Video captioning refers to automatic generate natural language sentences, which summarize the video contents. Inspired by the visual attention mechanism of human beings, temporal attention mechanism has been widely used in video description to ...
C. Yan +6 more
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Occlusion Aware Facial Expression Recognition Using CNN With Attention Mechanism
IEEE Transactions on Image Processing, 2019Facial expression recognition in the wild is challenging due to various unconstrained conditions. Although existing facial expression classifiers have been almost perfect on analyzing constrained frontal faces, they fail to perform well on partially ...
Yong Li +3 more
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2004
This chapter reviews some of the studies demonstrating that attention is associated with an increase in activity in the brain region concerned with the processing of whatever it is that is being attended to. The basic assumption is that there is competition between stimuli for processing by the nervous system.
Emiliano Macaluso +3 more
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This chapter reviews some of the studies demonstrating that attention is associated with an increase in activity in the brain region concerned with the processing of whatever it is that is being attended to. The basic assumption is that there is competition between stimuli for processing by the nervous system.
Emiliano Macaluso +3 more
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Visual attention and the mechanism of metacontrast [PDF]
Psychological Research, 2006 The U-shaped metacontrast function may result from the superimposition of two monotonic components which reflect the effects of mechanisms similar to the peripheral and central processes suggested for backward pattern masking by Turvey (Psychol Rev 80:1-52, 1973).
Odmar Neumann, Ingrid Scharlau
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A brain mechanism for attention
Medical Hypotheses, 1990Attention is directed or focussed consciousness. Consciousness is a subjective sensation produced by the simultaneous activation of discrete neurophysiological systems. These are the alerting, awareness, affect, arousal, and attention systems. The process begins with the subcortical scanning of sensory stimuli for affect and significance via pleasure ...
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Image Super-Resolution Using Very Deep Residual Channel Attention Networks
European Conference on Computer Vision, 2018Convolutional neural network (CNN) depth is of crucial importance for image super-resolution (SR). However, we observe that deeper networks for image SR are more difficult to train.
Yulun Zhang +5 more
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A Detection Method for Pavement Cracks Combining Object Detection and Attention Mechanism
IEEE transactions on intelligent transportation systems (Print), 2022Several deep learning techniques have been used to detect pavement cracks for the partial replacement of inefficient traditional inspections. However, the extensively varying real-world situations limit the detection accuracy. While many existing studies
Hui Yao +5 more
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Neural Mechanisms of Attention
1989Abstract : This project attained its objectives of developing an animal model to examine the neural mechanisms of attention. The concepts and procedures were successfully produced and resulted in two publications describing the experimental strategy and the results.
David S. Olton, Howard Egeth, Kevin Pang
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Soviet Psychology, 1969
There have been several attempts in the field of psychology to explain attention mechanisms on the basis of negative inductive relationships. Such an interpretation has certain justifications vis-a-vis the lower forms of attention, usually characterized as involuntary.
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There have been several attempts in the field of psychology to explain attention mechanisms on the basis of negative inductive relationships. Such an interpretation has certain justifications vis-a-vis the lower forms of attention, usually characterized as involuntary.
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On a spectral attentional mechanism
Proceedings CVPR IEEE Computer Society Conference on Computer Vision and Pattern Recognition, 1996This paper describes an attentional mechanism based on the interpretation of spectral signatures for detecting regular object configurations in areas of an image delineated using context information. The proposed global operator relies on the spectral analyse's of edge structure and exploits spatial as well as frequency domain constraints derived from ...
Rama Chellappa, Philippe Burlina, B. Lin
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