[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"$ferrmynpFSWpBh9PYdKrBO3dVNPDGgAQBqR-fpWkOUjs":3},{"answer":4,"createTime":5,"id":6,"options":7,"origin":12,"question":16,"related":17,"source":27,"type":28},[],"2026-04-15 14:14:53",1098280451,[8,9,10,11],"内容消除","智能抠图","图像压缩","声音降噪",{"courseId":13,"workId":14,"workName":15},"1000135144","65258175","第三章单元测试","下列哪一项不是人工智能图像处理的基本功能?( )",[18,29,32,41,50,59,68,77,86,95],{"answer":19,"createTime":5,"id":20,"options":21,"question":26,"source":27,"type":28},[],1098280449,[22,23,24,25],"文本生成图像需要用户提供一张图像作为基础,而图像生成图像则不需要任何图像输入","文本生成图像的核心是输入提示词,而图像生成图像的核心是上传原图并添加提示词","文本生成图像和图像生成图像都只需输入文本提示词,无需进行任何模型或参数设置","图像生成图像的流程中不需要选择风格模型,只需上传原图即可生成新图像","关于人工智能生成图像的两种主要方式,以下哪项描述是正确的?( )","v2",0,{"answer":30,"createTime":5,"id":6,"options":31,"question":16,"source":27,"type":28},[],[8,9,10,11],{"answer":33,"createTime":5,"id":34,"options":35,"question":40,"source":27,"type":28},[],1098280453,[36,37,38,39],"能够模仿人类情感的高级机器人技术","通过计算机程序模拟人类智能行为的科学与技术","专门用于处理图形图像的计算机系统","基于生物学原理开发的仿生设备","下列哪一项最准确地描述了人工智能的核心特征?( )",{"answer":42,"createTime":5,"id":43,"options":44,"question":49,"source":27,"type":28},[],1098280462,[45,46,47,48],"人工智能图像处理工具仅能用于生成静态图像,无法处理视频内容","通义万相和豆包都属于具备图像生成与编辑功能的人工智能工具","使用人工智能图像处理工具时必须具备专业的编程技能","所有人工智能图像生成工具的功能和使用方法完全相同","以下关于人工智能图像处理工具的表述,哪一项是正确的?( )",{"answer":51,"createTime":5,"id":52,"options":53,"question":58,"source":27,"type":28},[],1098280464,[54,55,56,57],"使用豆包的区域重绘功能修改病害特征,并通过WHEE的AI改图进行整体优化","采用通义万相的风格迁移生成不同风格病害特征图像,再用亦心AI的一键抠万物进行精细抠图处理","结合文心一言的图像重绘功能与秒画的定制模型训练生成多角度病害特征图像","直接使用WHEE的AI无痕消除去除多余背景,再通过豆包的AI抠图获得清晰病害特征","在生态监测中,哪种人工智能图像生成工具组合能够提供最有效的病虫害特征图像处理方案?( )",{"answer":60,"createTime":5,"id":61,"options":62,"question":67,"source":27,"type":28},[],1098280465,[63,64,65,66],"自动驾驶汽车的路径规划","林业资源监测中的病虫害识别","金融行业的风险评估模型","医疗影像的辅助诊断","人工智能在生态领域最典型的应用场景是以下哪一项?( )",{"answer":69,"createTime":5,"id":70,"options":71,"question":76,"source":27,"type":28},[],1098280467,[72,73,74,75],"监督学习中的决策树算法","无监督学习中的K均值聚类算法","强化学习中的Q-learning算法","半监督学习中的标签传播算法","在分析森林病虫害分布数据时,若需将未标记的病害样本自动归类为不同严重程度等级,最适合采用以下哪种机器学习方法?( )",{"answer":78,"createTime":5,"id":79,"options":80,"question":85,"source":27,"type":28},[],1098280507,[81,82,83,84],"自动生成演示文稿的大纲或完整内容","完全替代人工设计演示文稿","自动完成演示文稿的讲解工作","自动修复计算机硬件问题","人工智能在演示文稿制作中的主要作用是什么?( )",{"answer":87,"createTime":5,"id":88,"options":89,"question":94,"source":27,"type":28},[],1098280509,[90,91,92,93],"输入主题&rarr;生成大纲&rarr;选择模板&rarr;生成PPT&rarr;编辑优化&rarr;下载保存","选择模板&rarr;输入主题&rarr;生成大纲&rarr;下载保存","输入主题&rarr;生成PPT&rarr;编辑优化&rarr;下载保存","选择模板&rarr;生成PPT&rarr;输入主题&rarr;下载保存","使用迅捷AiPPT制作演示文稿的正确流程是什么?( )",{"answer":96,"createTime":5,"id":97,"options":98,"question":103,"source":27,"type":28},[],1098280513,[99,100,101,102],"在数据输入后立即将所有模态的特征向量直接拼接,形成统一的输入表示","各模态先独立提取高层次特征,再进行语义对齐和融合","各模态分别完成完整处理流程后,通过投票机制整合最终结果","忽略模态间差异,直接使用单一模型处理所有原始数据","关于多模态融合策略,下列哪种描述最能体现中期融合的特点?( )"]