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.