PDANet:Polarity consistent Deep Attention Network for Fine-grained Visual Emotion Regression

ACM International Conference on Mulitmedia (ACM MM),Nice,France Oct. 21-25, 2019
By Sicheng Zhao, Zizhou Jia, Hui Chen, Leida Li, Guiguang Ding, Kurt Keutzer.

Requirement

python>=3.6
pytorch>=1.0
torchvision>=0.3
tensorboardX>=1.8
nvidia-ml-py3
opencv-python

How to Run the code

download the code

git clone http://github.om/ZizhouJia/PDANet

extract the dataset into the PDANet directory

The IAPS and NAPS dataset is provided here
link: https://pan.baidu.com/s/10YQml0LzgHCe51w8uqJMFQ
extract code :98hx
After downloading the dataset
Extract the dataset in the PDANet directory

run the code

run python main.py training the IAPS and NAPS dataset