[{"title":"( 10 个子文件 15.32MB ) (外 Q1 2021)基于多尺度特征融合的深度监督卷积神经网络路面裂缝检测","children":[{"title":"笔记","children":[{"title":"(外)面向自动驾驶的深度强化学习:调查.png <span style='color:#111;'> 3.63MB </span>","children":null,"spread":false},{"title":"(2022 硕士毕业论文)大规模车辆路径问题的深度强化学习算法研究.png <span style='color:#111;'> 4.58MB </span>","children":null,"spread":false},{"title":"英文.txt <span style='color:#111;'> 868B </span>","children":null,"spread":false},{"title":"(外)深度学习定位真实故障的有效性研究.png <span style='color:#111;'> 2.76MB </span>","children":null,"spread":false},{"title":"md","children":[{"title":"(外)面向自动驾驶的深度强化学习:调查.md <span style='color:#111;'> 6.13KB </span>","children":null,"spread":false},{"title":"(外 Q1 2021)基于多尺度特征融合的深度监督卷积神经网络路面裂缝检测.md <span style='color:#111;'> 5.89KB </span>","children":null,"spread":false},{"title":"(2022 硕士毕业论文)大规模车辆路径问题的深度强化学习算法研究.md <span style='color:#111;'> 4.91KB </span>","children":null,"spread":false},{"title":"(外)深度学习定位真实故障的有效性研究.md <span style='color:#111;'> 5.03KB </span>","children":null,"spread":false}],"spread":true},{"title":"(外 Q1 2021)基于多尺度特征融合的深度监督卷积神经网络路面裂缝检测.png <span style='color:#111;'> 5.86MB </span>","children":null,"spread":false},{"title":"基于深度学习的图像隐写方法研究.png <span style='color:#111;'> 2.10MB </span>","children":null,"spread":false}],"spread":true}],"spread":true}]