Background: Attention impairments are the hallmark feature of subclinical depression. The present study used Navon task to compare the allocation of attention to the local and global stimuli in depressed and nondepressed participants. Method: The primary sample included 186 female high school students from Shiraz city who were selected using cluster sampl...

Abstract Human emotion recognition is an active research area in artificial intelligence and has made substantial progress over the past few years. Many recent works mainly focus on facial regions to infer human affection, while surrounding context information not effectively utilized. In this paper, we proposed a new deep network recognize emotions using novel global-local attention mechanism....

In this paper, we propose a methodology quantifying temporal patterns of nonlinear hashtag time series. Our approach is based on an analogy between neuron spikes and hashtag diffusion. We adopt the local variation, originally developed to analyze local time delays in neuron spike trains. We show that the local variation successfully characterizes nonlinear features of hashtag spike trains such ...

Dense video captioning aims to locate multiple events in an untrimmed and generate captions for each event. Previous methods experienced difficulties establishing the multimodal feature relationship between frames captions, resulting low accuracy of generated captions. To address this problem, a novel Video Captioning Model Based on Local Attention (DVCL) is proposed. DVCL employs 2D temporal d...

Salient object segmentation aims at distinguishing various salient objects from backgrounds. Despite the lack of semantic consistency, often have obvious texture and location characteristics in local area. Based on this priori, we propose a novel Local Context Attention Network (LCANet) to generate locally reinforcement feature maps uniform representational architecture. The proposed network in...

Background: There are some convincing shreds of evidence indicating that memory can direct attention. The local efficiency of an area in the brain, as a quantitative feature in a complex network, indicates how the surrounding nodes can transfer the information when a specific node is omitted. This feature is a scale for measuring efficient integration of information in the brain. Objectives:...

Video object detection still faces several difficulties and challenges. For example, the imbalance of positive negative samples leads to low information processing efficiency, performance declines in abnormal situations video. This paper examines video based on local attention address such We propose a sequence model optimized parameter calculation ConvGRU. It could process spatial temporal vid...