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open-mmlab / mmaction2

OpenMMLab's Next Generation Video Understanding Toolbox and Benchmark
https://mmaction2.readthedocs.io
Apache License 2.0
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experiment results on UCF-101 and HMDB-51 for R(2+1)D and I3D backbone. #199

Closed wqtwjt1996 closed 3 years ago

wqtwjt1996 commented 3 years ago

Hi,

For experiments using R(2+1)D and I3D backbone (https://github.com/open-mmlab/mmaction2/blob/master/configs/recognition/r2plus1d/README.md), (https://github.com/open-mmlab/mmaction2/blob/master/configs/recognition/i3d/README.md), did you have experiment results on UCF-101 and HMDB-51? If yes, would you mind share with me your experimental results and give me more information about model initialization (random init or ImageNet pre-trained)

Thanks!

innerlee commented 3 years ago

Currently we offer ckpts for kinetics400, sth-v2, etc.

UCF101 and HMDB51 are very small datasets, they are not large enough to drive big models. People usually use pretrained models on kinetics and fine-tune on them. This is relatively low cost and can be done on a single card in a relatively short time.

We are not including them for the above reasons. You may request them here https://github.com/open-mmlab/mmaction2/issues/19 and let's see the upvotes