DAP#
Arguments#
Options
- --sim_lambdafloat
Help: None
Default:
0.1
- --virtual_bs_nint
Help: virtual batch size iterations
Default:
1
- --enable_test_time_majority_votingint
Help: Enable majority voting for selecting the prompts during test time. NOTE: This should be avoided as it is not a fair comparison with other methods.
Default:
0
- --task_embint
Help: task embedding size
Default:
16
- --num_dap_tokensint
Help: number of dap tokens
Default:
10
- --load_original_checkpoint0|1|True|False -> bool
Help: load original checkpoint. This requires the file imagenet21k_ViT-B_16.npz to be present in the ./data directory. You can download it following the instructions in https://github.com/naver-ai/dap-cl
Default:
0
On the reproducibility of DAP#
- The original implementation of DAP is available at https://github.com/naver-ai/dap-cl and features:
a custom backbone, available with the –load_original_checkpoint flag
majority voting during test time, available with the –enable_test_time_majority_voting flag
custom splits for many datasets. Specifically: imagenet-r, chestx, eurosat-rgb, isic, and resisc45 use a validation set of 20% from the training set as the test set, while other datasets use their original splits. This differs from the Mammoth implementation, which follows that of other commonly used works (e.g, eurosat-rgb uses the split of CoOp).