mlsanityData to 7 Oct 2026

Traffic4cast at NeurIPS 2021 -- Temporal and Spatial Few-Shot Transfer Learning in Gridded Geo-Spatial Processes

arXiv 2203.17070 ↗First posted 31 Mar 2022cs.LGcited by 15

Not on the map. Why?

Abstract (arXiv)

The IARAI Traffic4cast competitions at NeurIPS 2019 and 2020 showed that neural networks can successfully predict future traffic conditions 1 hour into the future on simply aggregated GPS probe data in time and space bins. We thus reinterpreted the challenge of forecasting traffic conditions as a movie completion task. U-Nets proved to be the winning architecture, demonstrating an ability to extract relevant features in this complex real-world geo-spatial process. Building on the previous competitions, Traffic4cast 2021 now focuses on the question of model robustness and generalizability across time and space. Moving from one city to an entirely different city, or moving from pre-COVID times to times after COVID hit the world thus introduces a clear domain shift. We thus, for the first time, release data featuring such domain shifts. The competition now covers ten cities over 2 years, providing data compiled from over 10^12 GPS probe data. Winning solutions captured traffic dynamics sufficiently well to even cope with these complex domain shifts. Surprisingly, this seemed to require only the previous 1h traffic dynamic history and static road graph as input.

Key facts. Cited by 15 papers in the map (data through 7 Oct 2026). Builds on 36 of its 73 references that are in the map. First posted on arXiv 31 Mar 2022.

Builds on

36 of 73 references.

References · 36

  1. 2015U-Net: Convolutional Networks for Biomedical Image Segmentationcited by 19,604
  2. 2016Semi-Supervised Classification with Graph Convolutional Networkscited by 11,282
  3. 2019EfficientNet: Rethinking Model Scaling for Convolutional Neural Networkscited by 6,415
  4. 2018UNet++: A Nested U-Net Architecture for Medical Image Segmentationcited by 1,518
  5. 20194D Spatio-Temporal ConvNets: Minkowski Convolutional Neural Networkscited by 1,201
  6. 2019UNet++: Redesigning Skip Connections to Exploit Multiscale Features in Image Segmentationcited by 583
  7. 2015Unsupervised Learning of Video Representations using LSTMscited by 434
  8. 2021Skillful Precipitation Nowcasting using Deep Generative Models of Radarcited by 308
  9. 2019Video Representation Learning by Dense Predictive Codingcited by 175
  10. 2018Stochastic Adversarial Video Predictioncited by 173
  11. 2019A review of domain adaptation without target labelscited by 154
  12. 2021ETA Prediction with Graph Neural Networks in Google Mapscited by 130
24 more
  1. 2020MetNet: A Neural Weather Model for Precipitation Forecastingcited by 128
  2. 2020A Review on Deep Learning Techniques for Video Predictioncited by 114
  3. 2018An introduction to domain adaptation and transfer learningcited by 112
  4. 2016An Uncertain Future: Forecasting from Static Images using Variational Autoencoderscited by 86
  5. 2019Machine Learning for Precipitation Nowcasting from Radar Imagescited by 56
  6. 2016Visual Dynamics: Probabilistic Future Frame Synthesis via Cross Convolutional Networkscited by 46
  7. 2014Spatially-sparse convolutional neural networkscited by 33
  8. 2021Skillful Twelve Hour Precipitation Forecasts using Large Context Neural Networkscited by 20
  9. 2019CrevNet: Conditionally Reversible Video Predictioncited by 15
  10. 2020Utilizing UNet for the future traffic map prediction task Traffic4cast challenge 2020cited by 12
  11. 2019A Broader Study of Cross-Domain Few-Shot Learningcited by 10
  12. 2019Traffic4cast-Traffic Map Movie Forecasting -- Team MIE-Labcited by 7
  13. 2019Traffic map prediction using UNet based deep convolutional neural networkcited by 7
  14. 2021Learning to Transfer for Traffic Forecasting via Multi-task Learningcited by 7
  15. 2020Traffic4cast 2020 -- Graph Ensemble Net and the Importance of Feature And Loss Function Design for Traffic Predictioncited by 6
  16. 2019Semi-Supervised Learning for Cancer Detection of Lymph Node Metastasescited by 5
  17. 2020TLab: Traffic Map Movie Forecasting Based on HR-NETcited by 4
  18. 2022A Graph-based U-Net Model for Predicting Traffic in unseen Citiescited by 4
  19. 2019Recurrent Autoencoder with Skip Connections and Exogenous Variables for Traffic Forecastingcited by 3
  20. 2021Traffic Forecasting on Traffic Moving Snippetscited by 3
  21. 2021Traffic4cast -- Large-scale Traffic Prediction using 3DResNet and Sparse-UNetcited by 3
  22. 2022SwinUNet3D -- A Hierarchical Architecture for Deep Traffic Prediction using Shifted Window Transformerscited by 3
  23. 2021Dual Encoding U-Net for Spatio-Temporal Domain Shift Frame Predictioncited by 2
  24. 2021Solving Traffic4Cast Competition with U-Net and Temporal Domain Adaptationcited by 2

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Cited by year (2026 to 7 Oct)

Citing papers per year: 2022: 5; 2023: 5; 2024: 2; 2025: 2; 2026: 1.

15 papers.

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  1. 2024Physics-Informed Graph Neural Networks for Water Distribution Systemscited by 9
  2. 2024PredBench: Benchmarking Spatio-Temporal Prediction across Diverse Disciplinescited by 6
  3. 2022Transposed Variational Auto-encoder with Intrinsic Feature Learning for Traffic Forecastingcited by 3
  4. 2022Spatial Graph Convolution Neural Networks for Water Distribution Systemscited by 3
  5. 2023Traffic4cast at NeurIPS 2022 -- Predict Dynamics along Graph Edges from Sparse Node Data: Whole City Traffic and ETA from Stationary Vehicle Detectorscited by 3
  6. 2025UniSTD: Towards Unified Spatio-Temporal Learning across Diverse Disciplinescited by 3
  7. 2022Hierarchical Graph Structures for Congestion and ETA Predictioncited by 2
  8. 2023Metropolitan Segment Traffic Speeds from Massive Floating Car Data in 10 Citiescited by 2
  9. 2022Large scale traffic forecasting with gradient boosting, Traffic4cast 2022 challengecited by 1
  10. 2022Multi-task Learning for Sparse Traffic Forecastingcited by 1
  11. 2023An Efficient Two-stage Gradient Boosting Framework for Short-term Traffic State Estimationcited by 1
  12. 2023Uncertainty Quantification for Image-based Traffic Prediction across Citiescited by 1
3 more
  1. 2023Academic competitionscited by 0
  2. 2025Scalable and Robust Physics-Informed Graph Neural Networks for Water Distribution Systemscited by 0
  3. 2026A Road-Conditioned Traffic Movie Prediction Network with Spatiotemporal and Structure-Consistent Learningcited by 0