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Future prediction
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논문
이 태스크와 하위 분야의 관련 논문입니다. 실제 성능 비교는 평가 결과에서 확인하세요.
Distributed Poisson multi-Bernoulli filtering via generalised covariance intersection
DySS: Dynamic Queries and State-Space Learning for Efficient 3D Object Detection from Multi-Camera Videos
Looking Beyond Visible Cues: Implicit Video Question Answering via Dual-Clue Reasoning
LETS Forecast: Learning Embedology for Time Series Forecasting
Are Statistical Methods Obsolete in the Era of Deep Learning?
ProphetDWM: A Driving World Model for Rolling Out Future Actions and Videos
Learning from Streaming Video with Orthogonal Gradients
AdaWorld: Learning Adaptable World Models with Latent Actions
PhysTwin: Physics-Informed Reconstruction and Simulation of Deformable Objects from Videos
Seeing the Future, Perceiving the Future: A Unified Driving World Model for Future Generation and Perception
FluidNexus: 3D Fluid Reconstruction and Prediction from a Single Video
A Survey of World Models for Autonomous Driving
Advancing Semantic Future Prediction through Multimodal Visual Sequence Transformers
Navigating Tomorrow: Reliably Assessing Large Language Models Performance on Future Event Prediction
Back To The Future: A Hybrid Transformer-XGBoost Model for Action-oriented Future-proofing Nowcasting
A Novel Machine Learning Classifier Based on Genetic Algorithms and Data Importance Reformatting
Imagine-2-Drive: Leveraging High-Fidelity World Models via Multi-Modal Diffusion Policies
TrajAgent: An Agent Framework for Unified Trajectory Modelling
From Cognition to Precognition: A Future-Aware Framework for Social Navigation
The 2023/24 VIEWS Prediction Challenge: Predicting the Number of Fatalities in Armed Conflict, with Uncertainty
Latent Intuitive Physics: Learning to Transfer Hidden Physics from A 3D Video
MMWorld: Towards Multi-discipline Multi-faceted World Model Evaluation in Videos
Identifying latent state transition in non-linear dynamical systems
Compositional 4D Dynamic Scenes Understanding with Physics Priors for Video Question Answering
TimeMixer: Decomposable Multiscale Mixing for Time Series Forecasting
Scaling Lifelong Multi-Agent Path Finding to More Realistic Settings: Research Challenges and Opportunities
TrajPRed: Trajectory Prediction with Region-based Relation Learning
MemFlow: Optical Flow Estimation and Prediction with Memory
Future Predictive Success-or-Failure Classification for Long-Horizon Robotic Tasks
FutureDepth: Learning to Predict the Future Improves Video Depth Estimation
Reconstruction and Simulation of Elastic Objects with Spring-Mass 3D Gaussians
A representation-learning game for classes of prediction tasks
Future Prediction Can be a Strong Evidence of Good History Representation in Partially Observable Environments
A Multi-step Loss Function for Robust Learning of the Dynamics in Model-based Reinforcement Learning
DeepLag: Discovering Deep Lagrangian Dynamics for Intuitive Fluid Prediction
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