shikiw / dam-vp Goto Github PK

Hi!
Could you please provide the full results on VTAB-1k benchmark?
The Table 11 only shows the average results on three types of datasets in VTAB-1k benchmark.
Thanks!

Hi,

Thanks for the amazing work! Would it be possible to share the link for downloading/acquiring your Fru92 and Veg200 data splits? I see that the original dataset is here: https://github.com/ustc-vim/vegfru, but I would like to know the exact processing you've performed on the dataset to get to the two subsets you've used.

Thanks!

I want to use this for Video Swin transformer on the Shanghai Video anomaly Dataset , and I want to custom train it for that dataset and model . How can I do it

Hi,

Thanks for your excellent work and contributions of open-sourced code.

I think there should be a bunch of json files claiming the train/test splits of downstream datasets. I met this issue when I run

    cd task_adapting
    CUDA_VISIBLE_DEVICES=1 python main.py \
        --base_dir ../data \
        --pretrained_model vit-b-1k \
        --adapt_method prompt_wo_head \
        --test_dataset 'cub200' \
        --epochs 50 \
        --lr 50000 \
        --weight_decay 0.0 \
        --checkpoint_dir ../meta-training/checkpoints/vit-b-1k-wo-head.pth

The error seems lie in a class named 'JSONDataset', which needs 'train.json' to continue training.

Thanks for your efforts.

Hi, thanks for the great work. I realise that you are using AgglomerativeClustering from sci-kit learn to first learn the cluster prototypes. However, in my case, this algorithm keeps giving me a single cluster, do you have any suggestions on this behavior?

Hi, This is a good job, but I want to know what kind of GPUs are needed for training.