论文标题
爸爸视觉：与分区伴奏方法的光电共同设计的计算机视觉
DAD vision: opto-electronic co-designed computer vision with division adjoint method
论文作者
论文摘要
计算机视觉系统的微型化和流动性受到重大计算负担和光镜的大小的限制。在这里，我们建议使用超薄的衍射光学元件来实施被动光学卷积。还提出了分裂伴随的光电机共同设计方法。在我们的仿真实验中，神经网络的前几个卷积层可以在CIFAR-10数据集上的分类任务中被光卷积代替而没有功耗，但可以获得相似的性能。
The miniaturization and mobility of computer vision systems are limited by the heavy computational burden and the size of optical lenses. Here, we propose to use a ultra-thin diffractive optical element to implement passive optical convolution. A division adjoint opto-electronic co-design method is also proposed. In our simulation experiments, the first few convolutional layers of the neural network can be replaced by optical convolution in a classification task on the CIFAR-10 dataset with no power consumption, while similar performance can be obtained.
