The goal of the Kinetics dataset is to help the computer vision and machine learning communities advance models for video understanding. Given this large human action classification dataset, it may be possible to learn powerful video representations that transfer to different video tasks.
Ensure that "Visual Basic for Applications" is enabled in your CorelDRAW installation, as the plug-in relies on this to communicate between programs. Conclusion
Getting the Most Out of the CutToolCDR_Cut9_2_2 Updated Version
Remove any previous versions of CutTool to avoid registry conflicts.
Ensure that "Visual Basic for Applications" is enabled in your CorelDRAW installation, as the plug-in relies on this to communicate between programs. Conclusion
Getting the Most Out of the CutToolCDR_Cut9_2_2 Updated Version
Remove any previous versions of CutTool to avoid registry conflicts.
1. Possible to use ImageNet checkpoints?
We allow finetuning from public ImageNet checkpoints for the supervised track -- but a link to the specific checkpoint should be provided with each submission.
2. Possible to use optical flow?
Flow can be used as long as not trained on external datasets, except if they are synthetic.
cuttoolcdrcut922 updated
3. Can we train on test data without labels (e.g. transductive)?
No.
Ensure that "Visual Basic for Applications" is enabled
4. Can we use semantic class label information?
Yes, for the supervised track.
cuttoolcdrcut922 updated
5. Will there be special tracks for methods using fewer FLOPs / small models or just RGB vs RGB+Audio in the self-supervised track?
We will ask participants to provide the total number of model parameters and the modalities used and plan to create special mentions for those doing well in each setting, but not specific tracks.