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乐天派中二病平凡少女×假装温柔贤惠阴湿男鬼
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王辰军王叔赵雅欣是(冰城小南)新书,这是一个现代人回到古代,回到一个完全没有任何超凡的真实世界,靠着将一切数据属性化的异能,慢慢崛起的故事。 精彩尽在王辰军王叔赵雅欣
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基于人类注意机制的微表情检测方法 作者: 李婧婷 1 东子朝 1 刘烨 1,2 王甦菁 1,2 庄东哲 3 作者单位: 1. 中国科学院行为科学重点实验室, 北京 100101 2. 中国科学院大学心理学系, 北京 100039 3. 中国人民公安大学公共安全行为科学实验室, 北京 100038 提交时间: 2023-03-28 摘要: 微表情是一种持续时间极短、不易被察觉的面部动作, 揭示了个体的真实情绪, 可以被广泛地应用于谎言识别等领域。而微表情检测的研究受到小样本问题的限制。针对该问题, 本文结合计算机视觉技术与认知心理学实验方法进行探索。首先, 结合眼动技术和呈现-判断范式与阈下情绪启动效应的行为实验范式, 考察微表情识别中选择注意分配的认知机制, 细化人类识别微表情时的特征兴趣区域。其次, 结合人类注意机制, 提出基于自监督学习的多模态微表情检测方法。通过理论和关键技术的突破, 为真实场景下微表情检测的应用奠定基础。 Abstract: Micro-expressions are facial movements that are extremely short and not easily perceived, often generated under high pressure. Micro-expressions can reveal the individual's hidden real emotions and are important non-verbal communication clues, widely used in lies detection and other fields. Due to the difficulty of eliciting, collecting, and labeling micro-expression samples, micro-expression-related research becomes a typical small-sample-size (SSS) problem. In order to enlighten the application of micro-expression analysis technology in complex real-life scenarios such as national security and clinical consultation, this study focuses on the SSS problem and proposes a micro-expression spotting method based on human attention mechanism with multi-branching self-supervised learning through the intersection of computer and psychology. First, this study conducts an exploration related to attentional resources based on the cognitive mechanisms of psychological micro-expressions. A behavioral-experimental paradigm combining eye-movement techniques and a presentation-judgment paradigm with subthreshold emotion priming effects was used to examine the cognitive mechanisms of selective attention allocation in micro-expression recognition and to refine the distinct regions of interest in human recognition of micro-expressions. Thus, the model is effectively and directly enabled to acquire important micro-expression features from the input information. Then the relevant attention modules are further generated from multi-dimensions (time domain, spatial domain, and channel domain) by the deep learning network to improve the performance of the network in extracting micro-expression features with the limited sample size. Second, this study proposes a multi-branching self-supervised learning method based on the human attention mechanism for micro-expression spotting. Training in many unlabeled video samples for the pre-text tasks enables the model to extract features from regions of interest of micro-expressions, including structural and detail features and video dynamic change patterns. Thus, the limitation caused by the SSS problem could be avoided. Finally, the current data released for micro-expressions are video samples and do not include the corresponding depth information. This study will carry out a depth information-based micro-expression spotting method based on the first micro-expression database that includes image depth information being created by our research team. It enables self-supervised learning to learn the corresponding action patterns from the geometric information of the scene. This research will achieve theoretical and technological breakthroughs in the field of automatic micro-expression spotting, improve the accuracy and reliability, and lay the foundation for the application of micro-expression spotting in realistic and complex scenarios. Second, it can achieve the data augmentation of micro-expression samples by mining micro-expression clips in unlabeled videos. Thus, the micro-expression small sample problem could be solved, and the performance improvement of traditional supervised micro-expression spotting methods could be improved. 微表情检测 小样本问题 人类注意机制 自监督学习 深度信息 期刊: 心理科学进展 分类: 心理学 >> 社会心理学 引用: ChinaXiv:202303.09790 (或此版本 ChinaXiv:202303.09790V1 ) DOI:10.3724/SP.J.1042.2022.02143 CSTR:32003.36.ChinaXiv.202303.09790.V1 推荐引用方式: 李婧婷,东子朝,刘烨,王甦菁,庄东哲.(2023).基于人类注意机制的微表情检测方法.心理科学进展.doi:10.3724/SP.J.1042.2022.02143 版本历史 [V1] 2023-03-28 00:13:43 ChinaXiv:202303.09790V1 下载全文
反派主角
“重生之后,我李天宇不会再受任何人的欺负。 有钱有势就能无限嚣张?有实力就能随便欺负人?这些在我面前是行不通的,别人能忍,老子不能忍。 敢惹我的人不分男女,美女统统推倒,男人打断他第三条腿!”……李天宇 武者炼体,等级划分为武士,武师,武灵,武将,武王,武皇,武尊,武神,武破虚空。 魂者练魂,等级划分为魂士,魂师,魂灵,魂将,魂王,魂皇,魂尊,魂神,魂融天地。
轻松
给你一本小说的内容简介: 带着天上地下第一功法《盘点人生》,叶枫重生回到了十四岁。 他要变强,变强,再变强,坚定信念,踏上真正的巅峰。 百族林立的大陆,光怪陆离的星域,神秘莫测的真神界…… 掌命运,控轮回,踏武道,压天道,夺乾坤。 唯我独尊,焚鼎天下! 再给出一段话: “怎么?被我说中了心事?哈哈,这印记从今天开始归我所有了,你从哪里来,就滚回哪里去,哼!” 袁成仁森然冷厉道,神鼎二重天的气势轰然爆发,比叶枫足足强了一分! 嗡!嗡! 想要扑上来的石蛮,竟然瞬间崩碎,足足四头石蛮,竟然被这气势撕碎! “好恐怖的修为,比那万水山还要恐怖!”叶枫嘴里泛苦,他不是一个自负的人,自己的斤两比任何人都要熟悉,他的这点实力,在袁成仁的面前,还真的不够看的。 如果硬拼的话,吃亏的只能是他! “怎么办!怎么办!”叶枫心中充满了不甘,明明就要到手的东西,怎么被人横刀夺爱,这种感觉比吃了苍蝇还难受。 无论如何,也不能这样忍下去! “我不甘心,我不甘心啊!只要再慢一步,那印记就落入我手了,偏偏出现这样一尊恐怖的人物,怎么办!”叶枫心中狂吼乱叫,只不过面对如此强敌,抱怨根本没有用! “不行,我一定要得到印记,我一定要!” 他突然坚定起来,看向袁成仁,冷冷道:“你还真是大言不惭,就凭你这点修为,在我面前真不够看的!” 袁成仁一愣,他的气势能够生撕石蛮,其恐怖程度,根本不是普通人能够比拟,而这叶枫,方才的气势明显也弱了,怎么可能现在又变得如此之强,甚至还有和他一战的信心! 当然,就算叶枫再强,在他眼里,都不屑一顾! “找死!”袁成仁怒了,这种羞辱,让他脸颊火辣辣的烫,作为紫玉妖界的翘楚,他能够出言放走某人,这已经是天大的恩惠。 识相的,早就赶紧磕头谢恩,甚至痛快的缴上一丝灵魂,愿意做他的仆人。 而这叶枫,竟然敬酒不吃吃罚酒,反而要和他一战,这不是脑残吗!请你帮忙
现代战争
居然是2005年,参演电视剧《神级系统》
软科幻
旁边还有一张《也一起离开了》,没想到王雨纯一个人在家的时候,收藏了这么多经典影片,还真让王泽杰大开眼界了
升级流
府门藏娇在线免费全文阅读是作家林初念萧诀延池棠的最新作品,提供府门藏娇在线免费全文阅读免费阅读,府门藏娇在线免费全文阅读
双强
“诗诗啊,我刚刚接到,制片人刘阳的电话” “他在电话中说,想要邀请你,出演《网王同人--骄傲的女子》这部电视剧。
都市生活
最近,一款号称沉浸式体验的小众游戏《何方妖孽》开启线下发售,身为本书主角的周范泛果断冲了。领取设备的路上,她偶遇了一位被拦在闸机外的金发少女Coser“江雨柔”。对方随身携带各种刀具,却是一副涉世未深的呆萌样子,误认为周范泛为“前辈”。两人互换了联系方式,不料阴差阳错拿错了VR设备……于是,饭饭发现《关于一只受不得不说的故事》的沉浸感简直逆天!这里的NPC不仅能无限制对话,还能随意选择修炼功法?放弃了
推理
小鸟伴游感觉真的好有趣啊,现实中有这样的吗
无情道形同虚设
值得"给作者大大捉个虫~
丁霁的阿贝贝是本书
烂大街的网文水平。