Department of Creative IT Engineering, Pohang University of Science and Technology (POSTECH), Pohang, Republic of Korea;
Department of Creative IT Engineering, Pohang University of Science and Technology (POSTECH), Pohang, Republic of Korea;
Applied Ocean Physics Engineering, Woods Hole Oceanographic Institution (WHOI), Massachusetts, United States;
Fish; Neural networks; Classification algorithms; Training; Real-time systems; Object detection; US Government agencies;
机译:使用多个摄像机和卷积神经网络的坠落检测的基于视觉检测方法:一种使用上落检测数据集的案例研究
机译:基于多普勒雷达谱图和使用卷积神经网络的视觉图像的人员和鸟类检测和分类
机译:基于视觉的自动裂纹检测,采用卷积神经网络进行基础设施条件评估
机译:基于视觉基于卷积神经网络的实时鱼检测
机译:利用卷积神经网络实时检测早期困倦
机译:使用卷积神经网络实时检测胃息肉
机译:基于多普勒雷达谱图和使用卷积神经网络的视觉图像的人类和鸟类检测和分类