AMM-Net

• PyTorch 1.6.0 implementation of the following paper. This version uses Swin Transformer as the backbone network, and you can replace it with other backbone network.
• Test.py for model test.
• Pretrained model weight available at: https://pan.quark.cn/s/b30129eab7bb
• If you want to retrain the aesthetic attribute pre-trained model, you need download AADB database.

Citation

If you find our work is useful for your project or research, please consider citing our paper:
@ARTICLE{AMM-Net,
author={Li, Leida and Zhu, Tong and Chen, Pengfei and Yang, Yuzhe and Li, Yaqian and Lin, Weisi},
journal={IEEE Transactions on Circuits and Systems for Video Technology},
title={Image Aesthetics Assessment With Attribute-Assisted Multimodal Memory Network},
volume={33},
number={12},
pages={7413-7424},
doi={10.1109/TCSVT.2023.3272984}}