Revisiting the Unreasonable Effectiveness of Data

Paper: arxiv
Blog post: blog link

Key idea:

We believe that, although challenging, obtaining large scale task-specific data should be the focus of future study.

Some points:

• Better Representation Learning Helps.

• Performance increases linearly with orders of magnitude of training data.

• Capacity is Crucial. (network capacity need to be large to learn more data)
• New state of the art results. (a single model (without any bells and whistles) can now achieve 37.4 AP as compared to 34.3 AP on the COCO detection benchmark.)