A Unified Vision and Dialog Transformer with BERT
VD-BERT
PyTorch Code for the following paper at EMNLP2020:
Title: VD-BERT: A Unified Vision and Dialog Transformer with BERT [pdf]
Authors: Yue Wang, Shafiq Joty, Michael R. Lyu, Irwin King, Caiming Xiong, Steven C.H. Hoi
Institute: Salesforce Research and CUHK
Abstract
Visual dialog is a challenging vision-language task, where a dialog agent needs to answer a series of questions through reasoning on the image content and dialog history. Prior work has mostly focused on various attention mechanisms to model such intricate interactions. By contrast, in this work, we propose VD-BERT, a simple yet effective framework of unified vision-dialog Transformer that leverages the pretrained BERT language models for Visual Dialog tasks. The model is unified in that (1) it captures all the interactions between the image and the multi-turn dialog using a single-stream Transformer encoder,