Comments (1)
Hi Leo,
Thank you for your interest in our works! Unfortunately we did not save the checkpoints to our trained models. However, we do provide the scripts (and hyperparameters) in the repo to directly train the models, and most of them train pretty fast, so you can train the models with our scripts.
Hope that helps!
-Yiwei
from multibench.
Related Issues (20)
- Link for processed Affective Computing datasets HOT 1
- Question regarding the DHG-14/28 dataset
- Question about the mosei dataset HOT 5
- Combine Kinetics scripts in Special/ Folder to Main Repo
- Refactor out private_test_scripts/"all_in_one_train/test" functions
- It will be great to have some tests to make sure this benchmark is runnable. HOT 27
- questions about mosei dataset HOT 5
- What's the meaning of modalities in MUJOCO PUSH dataset? HOT 2
- Questions about the video encodings of the mosi and mosei datasets HOT 1
- Code to obtain features from raw data HOT 1
- Leaderboard
- Did you forget switch model train/eval state? HOT 1
- Errors running mmimdb examples HOT 2
- Models, data used in get_data.py for mmimdb missing
- Labels for CMU MOSEI HOT 1
- can you make multibench a python package?
- Question about relative robustness
- Extracting info from the H5 files HOT 6
- requirements for imdb dataset HOT 6
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from multibench.