SOTAVerified

Motion Forecasting

Motion forecasting is the task of predicting the location of a tracked object in the future

Papers

Showing 121130 of 205 papers

TitleStatusHype
Trajectory Forecasting on Temporal GraphsCode1
GaitForeMer: Self-Supervised Pre-Training of Transformers via Human Motion Forecasting for Few-Shot Gait Impairment Severity EstimationCode1
TENET: Transformer Encoding Network for Effective Temporal Flow on Motion Prediction0
SSL-Lanes: Self-Supervised Learning for Motion Forecasting in Autonomous DrivingCode1
BANet: Motion Forecasting with Boundary Aware Network0
VN-Transformer: Rotation-Equivariant Attention for Vector Neurons0
Narrowing the Coordinate-frame Gap in Behavior Prediction Models: Distillation for Efficient and Accurate Scene-centric Motion Forecasting0
StopNet: Scalable Trajectory and Occupancy Prediction for Urban Autonomous Driving0
TransFuser: Imitation with Transformer-Based Sensor Fusion for Autonomous DrivingCode3
Bootstrap Motion Forecasting With Self-Consistent Constraints0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1WSTbrier-minFDE (K=6)26.41Unverified
2BaseballBrobrier-minFDE (K=6)24.35Unverified
3Constant velocity map priorbrier-minFDE (K=6)23.39Unverified
4DQSbrier-minFDE (K=6)12.88Unverified
5xjtub09brier-minFDE (K=6)11.46Unverified
6suubrier-minFDE (K=6)9.51Unverified
7yellowtaxibrier-minFDE (K=6)8.86Unverified
8Online_CLbrier-minFDE (K=6)8.75Unverified
9RuShengbrier-minFDE (K=6)8.38Unverified
10mmmdddbrier-minFDE (K=6)8.26Unverified