地标的音频片段) 在地图中索引目标. Act3D[92] 则提出了一种基于 Transformer 的 3D 特征场模型, 使用大规模预训练的 2D 特征提取 器 (如 CLIP[17] 或 ResNet50[104]) 来处理多视角的 RGB-D 图像, 并将提取的 2D 特征通过特征金字塔 网络 (Feature pyramid network, FPN)[105] 提取多 尺度视觉词, 语言指令则使用预训练的语言编码器 IEEE Conference on Computer Vision and Pattern Recognition (CVPR). Las Ve- gas, USA: IEEE, 2016. 104 Lin T Y, Dollár P, Girshick R, He K M, Hariharan B, Be- longie S. Feature pyramid networks

..................................................................................................104 13.1 初始投资估算......................................................................................

........101 5.1 某银行风险管理案例........................................................................104 5.2 某银行智能客服案例........................................................................106 5.3 某银行欺诈检测案例

102 7.1 监测与评估.......................................................................................104 7.1.1 性能指标..................................................................................106 7

101 10.4 集成文档编写..................................................................................104 11. 部署与运维........................................................................................

系统部署方案...........................................................................................104 9.1 部署环境准备....................................................................................106

.........102 11.2 模型偏差与错误处理......................................................................104 11.3 系统故障应急计划..........................................................................106 11.4 持续优化与更新

7.3 试点实施...........................................................................................104 7.3.1 选定试点城市与项目................................................................107 7.3.2 试点实施与监测

..................................................................................................104 6.2.2 合规性检查与审计日志.................................................................................

7. 风险评估与管理........................................................................................104 7.1 技术风险.........................................................................................