Hi @xinwong,
Thank you for the excellent work on TAPT! I'm trying to replicate the results from your paper.
I noticed that the TAPT evaluation scripts require pre-trained weights from Multimodal-Adversarial-Prompt-Tuning (specifically the AdvIVLP weights trained on ImageNet with 16-shot):
WEIGHTSPATH='/path/to/Multimodal-Adversarial-Prompt-Tuning/output/train/imagenet/AdvIVLP/vit_b16_c2_ep100_batch32_2+2ctx_9depth_16shots'
The statistics/ folder with mean/variance files is already included, but the trained prompt weights (VLPromptLearner/model.pth.tar-100) are not available in the repository.
Could you please share the pre-trained AdvIVLP (and optionally AdvMaPLe) weights? This would greatly help researchers who want to replicate your results without having to train on ImageNet from scratch.
Thank you for your time!
Hi @xinwong,
Thank you for the excellent work on TAPT! I'm trying to replicate the results from your paper.
I noticed that the TAPT evaluation scripts require pre-trained weights from Multimodal-Adversarial-Prompt-Tuning (specifically the AdvIVLP weights trained on ImageNet with 16-shot):
WEIGHTSPATH='/path/to/Multimodal-Adversarial-Prompt-Tuning/output/train/imagenet/AdvIVLP/vit_b16_c2_ep100_batch32_2+2ctx_9depth_16shots'
The statistics/ folder with mean/variance files is already included, but the trained prompt weights (VLPromptLearner/model.pth.tar-100) are not available in the repository.
Could you please share the pre-trained AdvIVLP (and optionally AdvMaPLe) weights? This would greatly help researchers who want to replicate your results without having to train on ImageNet from scratch.
Thank you for your time!