发明者
Daniel Rudolf Maurer, Austin Charles Stone, Alper Ayvaci, Anelia Angelova, Rico Jonschkowski
发表日期
2022/10/20
专利局
US
专利申请号
17721288
简介
Methods, systems, and apparatus, including computer programs encoded on computer storage media, for training a neural network to predict optical flow. One of the methods includes obtaining a batch of one or more training image pairs; for each of the pairs: processing the first training image and the second training image using the neural network to generate a final optical flow estimate; generating a cropped final optical flow estimate from the final optical flow estimate; and training the neural network using the cropped optical flow estimate.
引用总数
学术搜索中的文章
DR Maurer, AC Stone, A Ayvaci, A Angelova… - US Patent App. 17/721,288, 2022