[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"$f-GN4p7WjhNYLS3GWvybpNAeDwYASx0tRwRiZdsyWIXA":3},{"answer":4,"createTime":5,"id":6,"options":7,"origin":12,"question":16,"related":17,"source":27,"type":28},[],"2026-05-08 11:15:53",362302490,[8,9,10,11],"增加计算量以提升精度","突出小目标特征,抑制背景干扰","降低模型参数量","替代激活函数",{"courseId":13,"courseImg":14,"courseName":15},"53e1d2ef4961cca8eea3e23969ad2cb9","https:\u002F\u002Ftihai-oss-cloud.itihey.com\u002Fimg\u002F03a579384a6dc297c89809b582fcc767.png","默认课程","YOLOv11中,特征融合网络引入的自适应加权模块主要目的是?( )",[18,29,38,47,56,65,74,81,90,99],{"answer":19,"createTime":5,"id":20,"options":21,"question":26,"source":27,"type":28},[],362302481,[22,23,24,25],"单阶段端到端检测","两阶段候选区域生成","基于滑动窗口的分类","逐像素语义分割","YOLO系列算法的核心思想是什么?( )","v1",0,{"answer":30,"createTime":5,"id":31,"options":32,"question":37,"source":27,"type":28},[],362302482,[33,34,35,36],"输入层、隐藏层、输出层","RPN、ROI池化、分类回归","特征提取网络、特征融合网络、检测头","卷积层、池化层、全连接层","YOLOv11的网络结构主要分为哪三大模块?( )",{"answer":39,"createTime":5,"id":40,"options":41,"question":46,"source":27,"type":28},[],362302483,[42,43,44,45],"增加全连接层","采用轻量化骨干网络","完全移除池化层","仅使用3×3卷积","下列哪项是YOLOv11特征提取网络的核心改进?( )",{"answer":48,"createTime":5,"id":49,"options":50,"question":55,"source":27,"type":28},[],362302484,[51,52,53,54],"Smooth L1 Loss","MSE Loss","Focal Loss","CIoU Loss","YOLOv11中用于代替传统IoU损失的定位损失函数是什么?( )",{"answer":57,"createTime":5,"id":58,"options":59,"question":64,"source":27,"type":28},[],362302485,[60,61,62,63],"固定锚点机制","随机锚点选择","动态锚点机制","锚点过滤机制","YOLOv11的哪种机制使其能够自适应不同数据集的锚点需求?( )",{"answer":66,"createTime":5,"id":67,"options":68,"question":73,"source":27,"type":28},[],362302486,[69,70,71,72],"单阶段检测","包含ROI池化层","端到端训练","推理速度快","与Faster R-CNN相比,YOLOv11不具备的特点是?( )",{"answer":75,"createTime":5,"id":76,"options":77,"question":80,"source":27,"type":28},[],362302487,[53,78,54,79],"Cross Entropy Loss","Hinge Loss","在YOLOv11训练中,用于应对正负样本不平衡问题的分类损失函数是?( )",{"answer":82,"createTime":5,"id":83,"options":84,"question":89,"source":27,"type":28},[],362302488,[85,86,87,88],"目标分类","坐标回归","降采样","多尺度特征融合","YOLOv11的Neck模块主要实现什么功能?( )",{"answer":91,"createTime":5,"id":92,"options":93,"question":98,"source":27,"type":28},[],362302489,[94,95,96,97],"语音识别","文本翻译","自动驾驶","数据清洗","下列哪项属于YOLOv11的典型应用场景?( )",{"answer":100,"createTime":5,"id":6,"options":101,"question":16,"source":27,"type":28},[],[8,9,10,11]]