4 citations · 4 across the 1 of their papers we have counts for
2 papers
cs.CV2021★ 4 cited
DocFormer: End-to-End Transformer for Document Understanding
Srikar Appalaraju, Bhavan Jasani, Bhargava Urala Kota +2
We present DocFormer -- a multi-modal transformer based architecture for the task of Visual Document Understanding (VDU). VDU is a challenging problem which aims to understand docu…
stat.ML2016
Normalization Propagation: A Parametric Technique for Removing Internal Covariate Shift in Deep Networks
Devansh Arpit, Yingbo Zhou, Bhargava U. Kota +1
While the authors of Batch Normalization (BN) identify and address an important problem involved in training deep networks-- Internal Covariate Shift-- the current solution has cer…