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shuaishiliu / SGCN

Code for "SGCN:Sparse Graph Convolution Network for Pedestrian Trajectory Prediction" CVPR 2021
MIT License
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Multimodality #5

Closed os1a closed 3 years ago

os1a commented 3 years ago

Hi,

Nice work,

I would like to get something to clarify about your results. When comparing to other methods on the ETH-UCY benchmark, do you consider multiple predicted trajectories (n=20), or does your method generate only a single trajectory?

I could not found that information on the paper.

shuaishiliu commented 3 years ago

Hi,

Nice work,

I would like to get something to clarify about your results. When comparing to other methods on the ETH-UCY benchmark, do you consider multiple predicted trajectories (n=20), or does your method generate only a single trajectory?

I could not found that information on the paper.

Hello, we reference Social-STGCNN https://github.com/abduallahmohamed/Social-STGCNN to compute the ADE/FDE. The code will be released in the next week.