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Models/CRAT-Pred

CRAT-Pred

Reported on 24 benchmarks across 3 tasks · 1 paper

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

Robots16 results

Autonomous VehiclesonArgoverse CVPR 2020
DAC (K=6)· 2022-02-09
0.9558
best: 0.9931 (lt_cont_k6)
CRAT-Pred: Vehicle Trajectory Prediction with Crystal Graph Convolutional Neural Networks and Multi-Head Self-Attention arXiv:2202.04488
Autonomous VehiclesonArgoverse CVPR 2020
MR (K=1)· 2022-02-09
0.6323
best: 1 (jwlhs104)
CRAT-Pred: Vehicle Trajectory Prediction with Crystal Graph Convolutional Neural Networks and Multi-Head Self-Attention arXiv:2202.04488
Autonomous VehiclesonArgoverse CVPR 2020
MR (K=6)· 2022-02-09
0.2624
best: 0.9893 (WST)
CRAT-Pred: Vehicle Trajectory Prediction with Crystal Graph Convolutional Neural Networks and Multi-Head Self-Attention arXiv:2202.04488
Autonomous VehiclesonArgoverse CVPR 2020
brier-minFDE (K=6)· 2022-02-09
2.5926
best: 26.4057 (WST)
CRAT-Pred: Vehicle Trajectory Prediction with Crystal Graph Convolutional Neural Networks and Multi-Head Self-Attention arXiv:2202.04488
Autonomous VehiclesonArgoverse CVPR 2020
minADE (K=1)· 2022-02-09
1.8162
best: 10634487.5868 (ewta)
CRAT-Pred: Vehicle Trajectory Prediction with Crystal Graph Convolutional Neural Networks and Multi-Head Self-Attention arXiv:2202.04488
Autonomous VehiclesonArgoverse CVPR 2020
minADE (K=6)· 2022-02-09
1.0626
best: 155985.7998 (ewta)
CRAT-Pred: Vehicle Trajectory Prediction with Crystal Graph Convolutional Neural Networks and Multi-Head Self-Attention arXiv:2202.04488
Autonomous VehiclesonArgoverse CVPR 2020
minFDE (K=1)· 2022-02-09
4.0576
best: 57.7046 (jwlhs104)
CRAT-Pred: Vehicle Trajectory Prediction with Crystal Graph Convolutional Neural Networks and Multi-Head Self-Attention arXiv:2202.04488
Autonomous VehiclesonArgoverse CVPR 2020
minFDE (K=6)· 2022-02-09
1.8981
best: 25.7113 (WST)
CRAT-Pred: Vehicle Trajectory Prediction with Crystal Graph Convolutional Neural Networks and Multi-Head Self-Attention arXiv:2202.04488
Autonomous DrivingonArgoverse CVPR 2020
DAC (K=6)· 2022-02-09
0.9558
best: 0.9931 (lt_cont_k6)
CRAT-Pred: Vehicle Trajectory Prediction with Crystal Graph Convolutional Neural Networks and Multi-Head Self-Attention arXiv:2202.04488
Autonomous DrivingonArgoverse CVPR 2020
MR (K=1)· 2022-02-09
0.6323
best: 1 (jwlhs104)
CRAT-Pred: Vehicle Trajectory Prediction with Crystal Graph Convolutional Neural Networks and Multi-Head Self-Attention arXiv:2202.04488
Autonomous DrivingonArgoverse CVPR 2020
MR (K=6)· 2022-02-09
0.2624
best: 0.9893 (WST)
CRAT-Pred: Vehicle Trajectory Prediction with Crystal Graph Convolutional Neural Networks and Multi-Head Self-Attention arXiv:2202.04488
Autonomous DrivingonArgoverse CVPR 2020
brier-minFDE (K=6)· 2022-02-09
2.5926
best: 26.4057 (WST)
CRAT-Pred: Vehicle Trajectory Prediction with Crystal Graph Convolutional Neural Networks and Multi-Head Self-Attention arXiv:2202.04488
Autonomous DrivingonArgoverse CVPR 2020
minADE (K=1)· 2022-02-09
1.8162
best: 10634487.5868 (ewta)
CRAT-Pred: Vehicle Trajectory Prediction with Crystal Graph Convolutional Neural Networks and Multi-Head Self-Attention arXiv:2202.04488
Autonomous DrivingonArgoverse CVPR 2020
minADE (K=6)· 2022-02-09
1.0626
best: 155985.7998 (ewta)
CRAT-Pred: Vehicle Trajectory Prediction with Crystal Graph Convolutional Neural Networks and Multi-Head Self-Attention arXiv:2202.04488
Autonomous DrivingonArgoverse CVPR 2020
minFDE (K=1)· 2022-02-09
4.0576
best: 57.7046 (jwlhs104)
CRAT-Pred: Vehicle Trajectory Prediction with Crystal Graph Convolutional Neural Networks and Multi-Head Self-Attention arXiv:2202.04488
Autonomous DrivingonArgoverse CVPR 2020
minFDE (K=6)· 2022-02-09
1.8981
best: 25.7113 (WST)
CRAT-Pred: Vehicle Trajectory Prediction with Crystal Graph Convolutional Neural Networks and Multi-Head Self-Attention arXiv:2202.04488

Computer Vision8 results

Motion ForecastingonArgoverse CVPR 2020
DAC (K=6)· 2022-02-09
0.9558
best: 0.9931 (lt_cont_k6)
CRAT-Pred: Vehicle Trajectory Prediction with Crystal Graph Convolutional Neural Networks and Multi-Head Self-Attention arXiv:2202.04488
Motion ForecastingonArgoverse CVPR 2020
MR (K=1)· 2022-02-09
0.6323
best: 1 (jwlhs104)
CRAT-Pred: Vehicle Trajectory Prediction with Crystal Graph Convolutional Neural Networks and Multi-Head Self-Attention arXiv:2202.04488
Motion ForecastingonArgoverse CVPR 2020
MR (K=6)· 2022-02-09
0.2624
best: 0.9893 (WST)
CRAT-Pred: Vehicle Trajectory Prediction with Crystal Graph Convolutional Neural Networks and Multi-Head Self-Attention arXiv:2202.04488
Motion ForecastingonArgoverse CVPR 2020
brier-minFDE (K=6)· 2022-02-09
2.5926
best: 26.4057 (WST)
CRAT-Pred: Vehicle Trajectory Prediction with Crystal Graph Convolutional Neural Networks and Multi-Head Self-Attention arXiv:2202.04488
Motion ForecastingonArgoverse CVPR 2020
minADE (K=1)· 2022-02-09
1.8162
best: 10634487.5868 (ewta)
CRAT-Pred: Vehicle Trajectory Prediction with Crystal Graph Convolutional Neural Networks and Multi-Head Self-Attention arXiv:2202.04488
Motion ForecastingonArgoverse CVPR 2020
minADE (K=6)· 2022-02-09
1.0626
best: 155985.7998 (ewta)
CRAT-Pred: Vehicle Trajectory Prediction with Crystal Graph Convolutional Neural Networks and Multi-Head Self-Attention arXiv:2202.04488
Motion ForecastingonArgoverse CVPR 2020
minFDE (K=1)· 2022-02-09
4.0576
best: 57.7046 (jwlhs104)
CRAT-Pred: Vehicle Trajectory Prediction with Crystal Graph Convolutional Neural Networks and Multi-Head Self-Attention arXiv:2202.04488
Motion ForecastingonArgoverse CVPR 2020
minFDE (K=6)· 2022-02-09
1.8981
best: 25.7113 (WST)
CRAT-Pred: Vehicle Trajectory Prediction with Crystal Graph Convolutional Neural Networks and Multi-Head Self-Attention arXiv:2202.04488