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.
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Filmyzilla is a well-known piracy website that provides unauthorized access to Bollywood, Hollywood, and regional Indian movies. While it offers a large catalog of new releases, using the site involves significant legal and security risks.
: A highly anticipated spiritual drama following the life of a yogi seeking inner peace, starring Sunny Deol and Varun Dhawan. Greenland 2: Migration
Filmyzilla is a notorious torrent-based piracy website that specializes in leaking copyrighted content, primarily focusing on Bollywood releases. It also features:
It uploads pirated copies of movies and shows. Users can download content in various formats, including 480p, 720p, and 1080p. Key Features of the Site: Massive library of Hindi films. Hollywood Dubbed: English movies dubbed in Hindi. Regional Cinema: South Indian and Punjabi movies. Web Series: Popular streaming shows available for free. ⚠️ The Massive Risks of Using Filmyzilla
: Use official apps like Netflix, Amazon Prime Video, Disney+ Hotstar, or Zee5 for high-quality, authorized Bollywood content.
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.
3. Can we train on test data without labels (e.g. transductive)?
No.
4. Can we use semantic class label information?
Yes, for the supervised track.
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.