SOTAVerified

Motion Forecasting

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

Papers

Showing 101–125 of 205 papers

TitleStatusHype
Words in Motion: Extracting Interpretable Control Vectors for Motion Transformers—0
Valeo4Cast: A Modular Approach to End-to-End ForecastingCode0
On the Identification of Temporally Causal Representation with Instantaneous Dependence—0
DriveWorld: 4D Pre-trained Scene Understanding via World Models for Autonomous Driving—0
ADM: Accelerated Diffusion Model via Estimated Priors for Robust Motion Prediction under UncertaintiesCode0
Scaling Motion Forecasting Models with Ensemble Distillation—0
Hierarchical Light Transformer Ensembles for Multimodal Trajectory ForecastingCode0
AMP: Autoregressive Motion Prediction Revisited with Next Token Prediction for Autonomous Driving—0
GazeMotion: Gaze-guided Human Motion Forecasting—0
JointMotion: Joint Self-Supervision for Joint Motion Prediction—0
Fooling Neural Networks for Motion Forecasting via Adversarial Attacks—0
Real-time respiratory motion forecasting with online learning of recurrent neural networks for accurate targeting in externally guided radiotherapy—0
Robot Interaction Behavior Generation based on Social Motion Forecasting for Human-Robot Interaction—0
Using Motion Forecasting for Behavior-Based Virtual Reality (VR) AuthenticationCode0
FIMP: Future Interaction Modeling for Multi-Agent Motion Prediction—0
TACO: Benchmarking Generalizable Bimanual Tool-ACtion-Object Understanding—0
SSL-Interactions: Pretext Tasks for Interactive Trajectory Prediction—0
Sim-to-Real Causal Transfer: A Metric Learning Approach to Causally-Aware Interaction RepresentationsCode0
Personalized Pose Forecasting—0
FFINet: Future Feedback Interaction Network for Motion Forecasting—0
OSM vs HD Maps: Map Representations for Trajectory Prediction—0
EqDrive: Efficient Equivariant Motion Forecasting with Multi-Modality for Autonomous Driving—0
KI-PMF: Knowledge Integrated Plausible Motion Forecasting—0
The WayHome: Long-term Motion Prediction on Dynamically Scaled—0
SEPT: Towards Efficient Scene Representation Learning for Motion Prediction—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