Code for straight forward CLIP fine-tuned to PEDES

[AwePhD]

Hello,

Good job, your paper is very interesting. I am happy to see papers leveraging VLP for Text ReID.

I am interested to have the fine-tuned CLIP model on PEDES. Do you plan to share the training script and/or the weights of this model, please ? I can re-do it by my own but it would save some times for me (and some other people, probably).

Thanks again for the contribution to the community.

[anosorae]

You can get the straight forward CLIP fine-tuned results by the following training config:

python train.py \
--name CLIP_finetune \
--img_aug \
--batch_size 64 \
--loss_names 'itc' \
--dataset_name 'CUHK-PEDES' \
--root_dir 'your dataset root dir' \
--num_epoch 60

[AwePhD]

Thanks you for your quick and useful answer. It's valuable!