SOTAVerified

Motion Forecasting

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

Papers

Recently AddedMost HypedMost ActiveNeeds VerificationMost Verified

Showing 76–100 of 205 papers

TitleStatusHype
Structured Prediction Helps 3D Human Motion ModellingCode0
ADM: Accelerated Diffusion Model via Estimated Priors for Robust Motion Prediction under UncertaintiesCode0
Sim-to-Real Causal Transfer: A Metric Learning Approach to Causally-Aware Interaction RepresentationsCode0
JointMotion: Joint Self-Supervision for Joint Motion PredictionCode0
Staged Contact-Aware Global Human Motion ForecastingCode0
ILNet: Trajectory Prediction with Inverse Learning Attention for Enhancing Intention CaptureCode0
One More Check: Making "Fake Background" Be Tracked AgainCode0
Human Motion Prediction via Spatio-Temporal InpaintingCode0
One Thousand and One Hours: Self-driving Motion Prediction DatasetCode0
RetroMotion: Retrocausal Motion Forecasting Models are InstructableCode0
Hierarchical Light Transformer Ensembles for Multimodal Trajectory ForecastingCode0
Application of Graph Convolutions in a Lightweight Model for Skeletal Human Motion ForecastingCode0
The Trajectron: Probabilistic Multi-Agent Trajectory Modeling With Dynamic Spatiotemporal GraphsCode0
TrajFlow: A Generative Framework for Occupancy Density Estimation Using Normalizing FlowsCode0
GoIRL: Graph-Oriented Inverse Reinforcement Learning for Multimodal Trajectory Prediction—0
GOHOME: Graph-Oriented Heatmap Output for future Motion Estimation—0
GazeMotion: Gaze-guided Human Motion Forecasting—0
FutureNet-LOF: Joint Trajectory Prediction and Lane Occupancy Field Prediction with Future Context Encoding—0
Future Does Matter: Boosting 3D Object Detection with Temporal Motion Estimation in Point Cloud Sequences—0
Deep Multi-Task Learning for Joint Localization, Perception, and Prediction—0
Future-Aware Interaction Network For Motion Forecasting—0
Decoder Fusion RNN: Context and Interaction Aware Decoders for Trajectory Prediction—0
Bootstrap Motion Forecasting With Self-Consistent Constraints—0
Fooling Neural Networks for Motion Forecasting via Adversarial Attacks—0
Map-Free Trajectory Prediction with Map Distillation and Hierarchical Encoding—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