Object-aware Adaptive-Positivity Learning for Audio-Visual Question Answering(AAAI'2024) [arXiv]

Authors: Zhangbin Li, Dan Guo, Jinxing Zhou, Jing Zhang, and Meng Wang

Requirements

   python3.7 +
   pytorch1.7.1
   numpy
   ast

Usage

1. Cloning this repo

   git clone https://github.com/zhangbin-ai/APL.git

2. Getting Started

   • Training

     python train.py \
     --batch-size 64 \
     --epochs 30 \
     --lr 1e-4 \
     --gpu 0 \
     --checkpoint APL_dir \
     --checkpoint_file checkpoint01 \
     --save_model_flag True \

   • Testing

     python test.py

3. Citing Us

   If you find this work useful, please consider citing it.

   @article{li2023object,
    title={Object-aware Adaptive-Positivity Learning for Audio-Visual Question Answering},
    author={Li, Zhangbin and Guo, Dan and Zhou, Jinxing and Zhang, Jing and Wang, Meng},
    journal={arXiv preprint arXiv:2312.12816},
    year={2023}
   }

4. Acknowledgement

   The computation is supported by the HPC Platform of Hefei University of Technology.