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Models/HeteroGCN

HeteroGCN

Reported on 8 benchmarks across 1 task · 1 paper · 8 SOTA

Note: results are matched by exact model name. Different papers may use the same name for different model variants.

Time Series8 results

Trajectory PredictiononArgoverse2
MR (K=6)· 2023-03-08
0.18
SOTA
Dynamic Scenario Representation Learning for Motion Forecasting with Heterogeneous Graph Convolutional Recurrent Networks arXiv:2303.04364
Trajectory PredictiononArgoverse2
brier-minFDE (K=6)· 2023-03-08
1.9
SOTA
Dynamic Scenario Representation Learning for Motion Forecasting with Heterogeneous Graph Convolutional Recurrent Networks arXiv:2303.04364
Trajectory PredictiononArgoverse2
minADE (K=6)· 2023-03-08
0.69
SOTA
Dynamic Scenario Representation Learning for Motion Forecasting with Heterogeneous Graph Convolutional Recurrent Networks arXiv:2303.04364
Trajectory PredictiononArgoverse2
minFDE (K=6)· 2023-03-08
1.34
SOTA
Dynamic Scenario Representation Learning for Motion Forecasting with Heterogeneous Graph Convolutional Recurrent Networks arXiv:2303.04364
Trajectory PredictiononArgoverse
MR (K=6)· 2023-03-08
0.12
SOTA
Dynamic Scenario Representation Learning for Motion Forecasting with Heterogeneous Graph Convolutional Recurrent Networks arXiv:2303.04364
Trajectory PredictiononArgoverse
brier-minFDE (K=6)· 2023-03-08
1.75
SOTA
Dynamic Scenario Representation Learning for Motion Forecasting with Heterogeneous Graph Convolutional Recurrent Networks arXiv:2303.04364
Trajectory PredictiononArgoverse
minADE (K=6)· 2023-03-08
0.79
SOTA
Dynamic Scenario Representation Learning for Motion Forecasting with Heterogeneous Graph Convolutional Recurrent Networks arXiv:2303.04364
Trajectory PredictiononArgoverse
minFDE (K=6)· 2023-03-08
1.16
SOTA
Dynamic Scenario Representation Learning for Motion Forecasting with Heterogeneous Graph Convolutional Recurrent Networks arXiv:2303.04364