liwangcs / vision-based-prediction

Deep Learning for Vision-based Prediction

Deep Learning for Vision-based Prediction

This repository serves as a reference database for the paper Deep Learning for Vision-based Prediction: A Survey. Here you can find the list of vison-based prediction papers that use deep learning and are published since 2015. The goal is to maintain this repository by adding papers published as they become available online.

All the papers contain the following information: datasets and metrics they use as well as corresponding bibtex and links to all published papers. The bibtex of all papers can also be found in prediction_refs.bib.

Similar to the survey paper, the papers are categorized into 5 groups: Video, Action, Trajectory, Motion and Other which may include applications such as visual weather forecasting, fashion trends prediction, etc.

The repository also contains information about the datasets used in the papers. Here, for each dataset, in addition to the links to the dataset and corresponding papers, you can find information regarding applications, type or annotations, task, list of papers used the dataset and bibtex of the publication.

To search for papers, you can use one of the following options:

• Papers
  • Video prediction
  • Action prediction
  • Trajectory prediction
  • Motion prediction
  • Other prediction
  • Papers with code
• Datasets
  • Year
  • Application
  • Task
  • Annotation
• Metrics

Contribute to this project

Please feel free to submit an issue if you found missing information, incorrect links, etc. If you consider contributing please see contribution

Cite

If you found this database and the paper useful for your research, please consider citing the paper as:

@Article{Rasouli_2020_arxiv,
  title={Deep Learning for Vision-based Prediction: A Survey},
  author={Rasouli, Amir},
  journal={arXiv:2007.00095},
  year={2020}
}

Updates

• 03/09/2020: RSS 2015-2020 papers added (7 papers, 1 dataset)
• 27/08/2020: ECCV2020 papers added (30 papers, 15 datasets)
• 03/08/2020: Added summary information to datasets
• 03/08/2020: Updated the information for some of the datasets
• 27/07/2020: Added CVPR and WACV 2020 papers
• 27/07/2020: 16 new datasets are added