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license: cc-by-4.0
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---
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license: cc-by-4.0
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tags:
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- self-supervised-learning
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- vit
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- latent-dynamics
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- motion
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- recognition
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- video
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- latent-action
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---
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# Midway Network: Learning Representations for Recognition and Motion from Latent Dynamics
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[Paper](https://arxiv.org/abs/2510.05558) | [Code](https://github.com/agentic-learning-ai-lab/midway-network)| [Website](https://agenticlearning.ai/midway-network)
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These are trained models instantiating the Midway Network (ICLR 2026) architecture for self-supervised learning of visual representations for recognition and motion from videos.
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> [**Midway Network: Learning Representations for Recognition and Motion from Latent Dynamics**](https://arxiv.org/abs/2510.05558)<br>
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> [Christopher Hoang](https://www.chrishoang.com), [Mengye Ren](https://mengyeren.com)<br>
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> International Conference on Learning Representations 2026<br>
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> *arXiv ([arXiv 2510.05558](https://arxiv.org/abs/2510.05558))*
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The models are trained on [BDD100K](https://bair.berkeley.edu/blog/2018/05/30/bdd) or [WT-Venice](https://huggingface.co/datasets/shawshankvkt/Walking_Tours).
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## Citation
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If you find this repository useful in your research, please consider giving a like and a citation:
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```
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@inproceedings{hoang:2026:midway-network,
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title={Midway Network: Learning Representations for Recognition and Motion from Latent Dynamics},
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author={Chris Hoang and Mengye Ren},
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booktitle={International Conference on Learning Representations},
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year={2026}
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}
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```
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