SOTAVerified

Motion Forecasting

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

Papers

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Showing 101–110 of 205 papers

TitleStatusHype
Robust Human Motion Forecasting using Transformer-based Model—0
Argoverse 2: Next Generation Datasets for Self-Driving Perception and ForecastingCode2
INT2: Interactive Trajectory Prediction at IntersectionsCode1
Test-time Personalizable Forecasting of 3D Human Poses—0
Query-Centric Trajectory PredictionCode2
Are We Ready for Vision-Centric Driving Streaming Perception? The ASAP BenchmarkCode1
R-Pred: Two-Stage Motion Prediction Via Tube-Query Attention-Based Trajectory Refinement—0
Motion Style Transfer: Modular Low-Rank Adaptation for Deep Motion ForecastingCode1
GoRela: Go Relative for Viewpoint-Invariant Motion Forecasting—0
Improving Motion Forecasting for Autonomous Driving with the Cycle Consistency Loss—0
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Benchmark Results

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