Lohit Petikam

DAViD: Data-efficient and Accurate Vision Models from Synthetic Data

The state of the art in human-centric computer vision achieves high accuracy and robustness across a diverse range of tasks. The most effective models in this domain have billions of parameters, thus requiring extremely large datasets, expensive training regimes, and compute-intensive inference. In…