[ICCV 2021] Official implementation of the paper "TRAR: Routing the Attention Spans in Transformers for Visual Question Answering"

PyTorch DataLoader for many VQA datasets

Adaptively fine tuning transformer based models for multiple domains and multiple tasks

Official implementation of "Deep Residual Weight-Sharing Attention Network with Low-Rank Attention for Visual Question Answering" (RWSAN) published in the IEEE Transactions on Multimedia (TMM), 2022.

Grid features extraction for ICCV 2021 paper "TRAR: Routing the Attention Spans in Transformers for Visual Question Answering"