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.
LGBTQ+ culture is not a monolith; it is a coalition. The transgender community remains its heartbeat, reminding the world that the ultimate goal of the movement is the freedom to define oneself on one’s own terms.
These disparities sometimes lead to friction within the culture, as trans activists call for the "LGB" portions of the community to use their relative social capital to protect the most vulnerable members of the "T." The Future of the Community
Trans people face higher rates of workplace discrimination and housing instability compared to cisgender gay and lesbian individuals.
A common point of confusion within broader culture is the difference between sexual orientation and gender identity.
LGBTQ+ culture is not a monolith; it is a coalition. The transgender community remains its heartbeat, reminding the world that the ultimate goal of the movement is the freedom to define oneself on one’s own terms.
These disparities sometimes lead to friction within the culture, as trans activists call for the "LGB" portions of the community to use their relative social capital to protect the most vulnerable members of the "T." The Future of the Community
Trans people face higher rates of workplace discrimination and housing instability compared to cisgender gay and lesbian individuals.
A common point of confusion within broader culture is the difference between sexual orientation and gender identity.
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.
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3. Can we train on test data without labels (e.g. transductive)?
No.
LGBTQ+ culture is not a monolith; it is a coalition
4. Can we use semantic class label information?
Yes, for the supervised track.
LGBTQ+ culture is not a monolith
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.