Engineers have long struggled to teach robots how to perform actions that appear simple by human standards. Former OpenAI research scientist Peter Chen believes the solution is transforming such robots into teachable apprentices.
Recently, CNNs have been successfully used in estimating optical flow. Compared with traditional methods, these methods achieved a large improvement in quality. Here, we will give a brief review on the following papers.
This paper, presented at the RE-WORK Deep Learning in Retail & Advertising Summit in London, provides a detailed explanation on related work, system architecture, and model improvement with embeddings enabled feature learning.