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Pytorch implementation for the paper: "OFMPNet: Deep End-to-End Model for Occupancy and Flow Prediction in Urban Environment" [Neurocomputing 2024]

Home Page: https://youshaamurhij.github.io/OFMPNet/

License: MIT License

Python 98.75% Dockerfile 0.49% Shell 0.77%
attention-mechanism flow-prediction motion-prediction occupancy-prediction pytorch

ofmpnet's Introduction

Hi ๐Ÿ‘‹



bash cplusplus csharp docker git linux mysql pandas python pytorch unity

๐Ÿ’ฌ "Those who do not remember the past are condemned to repeat it". Dynamic programming

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ofmpnet's Issues

Asking for the paper

Hello @YoushaaMurhij, Congratulation for your great job and thanks for sharing the code.
Somehow in the process of experimenting, I was a little confused about some details. Could you send the paper to my email ([email protected])? Or can it be uploaded to arxiv?
Thanks :)

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