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Found 4 papers, 1 papers with code
DocFormer: End-to-End Transformer for Document Understanding
DocFormer uses text, vision and spatial features and combines them using a novel multi-modal self-attention layer.
Ranked #1 on
Document Image Classification
on RVL-CDIP
Skeleton based Zero Shot Action Recognition in Joint Pose-Language Semantic Space
In this work, we present a body pose based zero shot action recognition network and demonstrate its performance on the NTU RGB-D dataset.
Are we asking the right questions in MovieQA?
Joint vision and language tasks like visual question answering are fascinating because they explore high-level understanding, but at the same time, can be more prone to language biases.
Learning Sampling Policies for Domain Adaptation
We address the problem of semi-supervised domain adaptation of classification algorithms through deep Q-learning.
