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.
The day also serves as a celebration of motherhood in all its forms. It's a time to acknowledge the diverse experiences of mothers around the world and the unique challenges they face.
: The true story of Anna Jarvis, who founded the holiday to honor her mother's legacy.
A styled flat‑lay: Carmela clutch, a coffee mug, a single rose, and a handwritten note “Happy Mother’s Day, Mom”.
The day also serves as a celebration of motherhood in all its forms. It's a time to acknowledge the diverse experiences of mothers around the world and the unique challenges they face.
: The true story of Anna Jarvis, who founded the holiday to honor her mother's legacy.
A styled flat‑lay: Carmela clutch, a coffee mug, a single rose, and a handwritten note “Happy Mother’s Day, Mom”.
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.
pervmom 21 05 09 carmela clutch mothers day mis
3. Can we train on test data without labels (e.g. transductive)?
No.
The day also serves as a celebration of
4. Can we use semantic class label information?
Yes, for the supervised track.
a coffee mug
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.