We release the pre-trained models trained on Moments in Time.
- Clone the code from Github:
git clone https://github.com/metalbubble/moments_models.git
cd moments_models
- RGB model in PyTorch (ResNet50 pretrained on ImageNet). Tested sucessfully in PyTorch0.3 + python36.
python test_model.py
-
Dynamic Image model in Caffe (TODO).
-
TRN models is already at this repo. Please go there to download the models.
Mathew Monfort, Bolei Zhou, Sarah Adel Bargal, Alex Andonian, Tom Yan, Kandan Ramakrishnan, Lisa Brown, Quanfu Fan, Dan Gutfreund, Carl Vondrick, Aude Oliva. 'Moments in Time Dataset: one million videos for event understanding'. arXiv. XXX:XXX.
The project is supported by MIT-IBM Watson AI Lab and IBM Research.