Awesome
<div align="center">FAME-ViL: Multi-Tasking Vision-Language Model for Heterogeneous Fashion Tasks
<a href="https://pytorch.org/get-started/locally/"><img alt="PyTorch" src="https://img.shields.io/badge/PyTorch-ee4c2c?logo=pytorch&logoColor=white"></a>
<a href="https://mmf.sh/"><img alt="MMF" src="https://img.shields.io/badge/MMF-0054a6?logo=meta&logoColor=white"></a>
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Updates
- :heart_eyes: (21/03/2023) Our FAME-ViL is selected as a highlight paper at CVPR 2023! (Top 2.5% of 9155 submissions)
- :blush: (12/03/2023) Code released!
Our trained model is available at Google Drive.
Please refer to FashionViL repo for the dataset preparation.
Test on FashionIQ
python mmf_cli/run.py \
config=projects/fashionclip/configs/mtl_wa.yaml \
model=fashionclip \
datasets=fashioniq \
checkpoint.resume_file=save/backup_ckpts/fashionclip_512.pth \
run_type=test \
model_config.fashionclip.adapter_config.bottleneck=512