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HorryChen avatar HorryChen commented on July 28, 2024

Hello, I just started to contact the related research on pedestrian trajectory prediction. This is the first time that I contacted this project such as SGAN. I met some difficulties and doubts in my study. Would you like to give me your email address? Thank you. And my email address is [email protected]. I'm looking forward to your reply. Sincerely Wision Peng

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amiryanj avatar amiryanj commented on July 28, 2024

We have also explored a new trajectory prediction architecture, called Social-Ways. We will present this work at CVPR workshop. The paper will be released soon (on arxiv and CVF), and I would be interested to see your feedbacks.
[email protected]

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amiryanj avatar amiryanj commented on July 28, 2024

The mentioned paper is now available on arxiv:
https://arxiv.org/abs/1904.09507

We will start to publish the source codes, ASAP.

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oyjGithub avatar oyjGithub commented on July 28, 2024

Can you reproduce the experimental results in this paper? I have problems with the results of my operation, and the gap is very large.@amiryanj

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amiryanj avatar amiryanj commented on July 28, 2024

I just used the pre-trained models and the results are quite the same as in the paper.
@onlylove321

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mingbocui avatar mingbocui commented on July 28, 2024

@amiryanj have you tried just used the hyperparameters provided by the scripts and train the model by yourself? I have got different results, hope for your insights.

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amiryanj avatar amiryanj commented on July 28, 2024

Hi @mingbocui
I'm afraid that I've never get that prediction accuracies by training, always thinking I'm doing something wrong.
I just know that the l2_loss_weight is set to zero while it should be something, otherwise you may let such GAN run for few days to get converged.

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ybpaopao avatar ybpaopao commented on July 28, 2024

Hi, @mingbocui, have you found any method that can solve the problem you mentioned? I also trained SGAN with different hyperparameters but the results are far away from the paper.

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