# Script for fine-tuning our FSFM-3C model for MCIO LOO evaluation of cross-domain face anti-spoofing: ==============OCI2M============== ``` CUDA_VISIBLE_DEVICES=0 python train_vit.py \ --pt_model ../../pretrain/checkpoint/pretrained_models/VF2_ViT-B/checkpoint-400.pth \ --op_dir ./checkpoint/finetuned_models/MCIO_protocol/OCI2M/ \ --report_logger_path ./checkpoint/finetuned_models/MCIO_protocol/OCI2M/performance.csv \ --config M \ ``` ==============OMI2C============== ``` CUDA_VISIBLE_DEVICES=0 python train_vit.py \ --pt_model ../../pretrain/checkpoint/pretrained_models/VF2_ViT-B/checkpoint-400.pth \ --op_dir ./checkpoint/finetuned_models/MCIO_protocol/OMI2C/ \ --report_logger_path ./checkpoint/finetuned_models/MCIO_protocol/OMI2C/performance.csv \ --config C \ ``` ==============OCM2I============== ``` CUDA_VISIBLE_DEVICES=3 python train_vit.py \ --pt_model ../../pretrain/checkpoint/pretrained_models/VF2_ViT-B/checkpoint-400.pth \ --op_dir ./checkpoint/finetuned_models/MCIO_protocol/OCM2I/ \ --report_logger_path ./checkpoint/finetuned_models/MCIO_protocol/OCM2I/performance.csv \ --config I \ ``` ==============ICM2O============== ``` CUDA_VISIBLE_DEVICES=3 python train_vit.py \ --pt_model ../../pretrain/checkpoint/pretrained_models/VF2_ViT-B/checkpoint-400.pth \ --op_dir ./checkpoint/finetuned_models/MCIO_protocol/ICM2O/ \ --report_logger_path ./checkpoint/finetuned_models/MCIO_protocol/ICM2O/performance.csv \ --config O \ ```