This project includes the python code of braod learning system fusing with CNN based on transfer learning for facial beauty prediction(FBP), and two benchmark datasets, such as SCUT-FBP5500, SCUT-FBP. Welcome to use and reference our papers.
Get datasets: SCUT-FBP5500 and SCUT-FBP.
Please refer to our paper "Facial beauty prediction fusing transfer learning and broad learning system" and "TransBLS: transformer combined with broad learning system for facial beauty prediction" for more details.
@misc{XiaoshanXie2023TransBLS, title={Facial beauty prediction fusing transfer learning and broad learning system}, author={J Gan, X Xie, G He, H Luo}, year={2023}, eprint={TransBLS}, archivePrefix={Applied Intelligence}, primaryClass={cs.CV} }
@misc{XiaoshanXie2023ER-BLS, title={Facial beauty prediction fusing transfer learning and broad learning system}, author={J Gan, X Xie, Y Zhai, G He, C Mai, H Luo}, year={2023}, eprint={ER-BLS}, archivePrefix={Soft Computing}, primaryClass={cs.CV} }