Official PyTorch Implementation of Tubelet-Contrastive Learning (ICCV 2023).

Tubelet-Contrastive Self-Supervision for Video-Efficient Generalization
Fida Mohammad Thoker, Hazel Doughty, Cees Snoek,
University Of Amsterdam, VIS Lab

📰 News

[2023.10.08] The pre-trained models and scripts for Mini-Kinetics pretraning are available!
[2022.10.08] Code and pre-trained models are available now!

🔨 Installation

Please follow the instructions in INSTALL.md.

➡️ Data Preparation

Please follow the instructions in DATASET.md for data preparation.

🔄 Pre-training

The pre-training instruction is in PRETRAIN.md.

⤴️ Fine-tuning with pre-trained models

The fine-tuning instruction is in FINETUNE.md.

📍Model Zoo

We provide pre-trained and fine-tuned models in MODEL_ZOO.md.

☎️ Contact

Fida Mohammad Thoker: fmthoker@gmail.com

👍 Acknowledgements

This project is built upon Catch the Patch and mmcv. Thanks to the contributors of these great codebases.

✏️ Citation

If you think this project is helpful, please feel free to leave a star⭐️ and cite our paperrs below:

@inproceedings{thoker2023tubelet,
  author    = {Thoker, Fida Mohammad and Doughty, Hazel  and Snoek, Cees},
  title     = {Tubelet-Contrastive Self-Supervision for Video-Efficient Generalization},
  journal   = {ICCV},
  year      = {2023},
}
@inproceedings{thoker2022severe,
  author    = {Thoker, Fida Mohammad and Doughty, Hazel and Bagad, Piyush and Snoek, Cees},
  title     = {How Severe is Benchmark-Sensitivity in Video Self-Supervised Learning?},
  journal   = {ECCV},
  year      = {2022},
}