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Top AI Repos tracks AI repositories on GitHub and answers two different questions about each one: is it moving right now, and would you bet a product on it.
Top AI Repos tracks AI repositories on GitHub and answers two different questions about each one: is it moving right now, and would you bet a product on it.
[NeurIPS 2022 Spotlight] VideoMAE: Masked Autoencoders are Data-Efficient Learners for Self-Supervised Video Pre-Training
| Date | Stars |
|---|---|
| 2026-07-24 | 1775 |
| 2026-07-25 | 1775 |
| 2026-07-28 | 1775 |
| 2026-07-30 | 1775 |
| 2026-08-06 | 1775 |
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# Official PyTorch Implementation of VideoMAE (NeurIPS 2022 Spotlight).  [](https://creativecommons.org/licenses/by-nc/4.0/)<br> [](https://huggingface.co/models?other=videomae)[](https://huggingface.co/spaces/sayakpaul/video-classification-ucf101-subset)[](https://colab.research.google.com/github/huggingface/notebooks/blob/main/examples/video_classification.ipynb)<br> [](https://paperswithcode.com/sota/action-recognition-in-videos-on-something?p=videomae-masked-autoencoders-are-data-1)<br> [](https://paperswithcode.com/sota/action-classification-on-kinetics-400?p=videomae-masked-autoencoders-are-data-1)<br>[](https://paperswithcode.com/sota/action-recognition-on-ava-v2-2?p=videomae-masked-autoencoders-are-data-1)<br> [](https://paperswithcode.com/sota/self-supervised-action-recognition-on-ucf101?p=videomae-masked-autoencoders-are-data-1)<br> [](https://paperswithcode.com/sota/self-supervised-action-recognition-on-hmdb51?p=videomae-masked-autoencoders-are-data-1) > [**VideoMAE: Masked Autoencoders are Data-Efficient Learners for Self-Supervised Video Pre-Training**](https://arxiv.org/abs/2203.12602)<br> > [Zhan Tong](https://github.com/yztongzhan), [Yibing Song](https://ybsong00.github.io/), [Jue Wang](https://juewang725.github.io/), [Limin Wang](http://wanglimin.github.io/)<br>Nanjing University, Tencent AI Lab ## 📰 News **[2023.4.18]** 🎈Everyone can download **Kinetics-400**, which is used in VideoMAE, from [this link](https://opendatalab.com/Kinetics-400).<br> **[2023.4.18]** Code and pre-trained models of [VideoMAE V2](https://arxiv.org/abs/2303.16727) have been released! Check and enjoy this [repo](https://github.com/OpenGVLab/VideoMAEv2)!<br> **[2023.4.17]** We propose **[EVAD](https://arxiv.org/abs/2304.08451)**, an **end-to-end Video Action Detection** framework.<br> **[2023.2.28]** Our [VideoMAE V2](https://arxiv.org/abs/2303.16727) is accepted by **CVPR 2023**! 🎉<br> **[2023.1.16]** Code and pre-trained models for **Action Detection** in VideoMAE are [available](https://github.com/MCG-NJU/VideoMAE-Action-Detection)! <br> **[2022.12.27]** 🎈Everyone can download extracted **VideoMAE** features of **THUMOS**, **ActivityNet**, **HACS** and **FineAction** from [InternVideo](https://github.com/OpenGVLab/InternVideo/tree/main/Downstream/Temporal-Action-Localization#to-reproduce-our-results-of-internvideo).<br> **[2022.11.20]** 👀 VideoMAE is integrated into [](https://huggingface.co/spaces/sayakpaul/video-classification-ucf101-subset) and [](https://colab.research.google.com/github/huggingface/notebooks/blob/main/examples/video_classification.ipynb), supported by [@Sayak Paul](https://github.com/sayakp
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matched fp:f3f84cdb7f5be2a0, topic:pytorch, desc:pre-training, readme:pre-training
matched fp:f3f84cdb7f5be2a0, topic:transformer
