Vision and Language Group@ MIL

mcan-vqa

Deep Modular Co-Attention Networks for Visual Question Answering

openvqa

A lightweight, scalable, and general framework for visual question answering research

bottom-up-attention.pytorch

A PyTorch reimplementation of bottom-up-attention models

prophet

Implementation of CVPR 2023 paper "Prompting Large Language Models with Answer Heuristics for Knowledge-based Visual Question Answering".

imp

a family of highly capabale yet efficient large multimodal models

activitynet-qa

An VideoQA dataset based on the videos from ActivityNet

rosita

ROSITA: Enhancing Vision-and-Language Semantic Alignments via Cross- and Intra-modal Knowledge Integration

xmchat

mmnas

Deep Multimodal Neural Architecture Search

mt-captioning

A PyTorch implementation of the paper Multimodal Transformer with Multiview Visual Representation for Image Captioning

anetqa-code

bst

mlc-imp

Enable everyone to develop, optimize and deploy AI models natively on everyone's devices.

anetqa