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Top AI Repos tracks AI repositories on GitHub and answers two different questions about each one: is it moving right now, and would you bet a product on it.
Top AI Repos tracks AI repositories on GitHub and answers two different questions about each one: is it moving right now, and would you bet a product on it.
Deep Learning for Vision-based Prediction
| Date | Stars |
|---|---|
| 2026-08-04 | 348 |
| 2026-08-06 | 348 |
| 2026-08-13 | 348 |
| 2026-08-14 | 348 |
| 2026-08-18 | 348 |
| 2026-10-08 | 349 |
| 2026-10-26 | 349 |
| 2026-11-04 | 349 |
Today
— stars today
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— stars this week
This month
+1 stars this month
Momentum
0.0
growth rate 0.00%/day
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# Deep Learning for Vision-based Prediction
This repository serves as a reference database for the paper [Deep Learning for Vision-based Prediction: A Survey](https://arxiv.org/pdf/2007.00095.pdf). 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](papers/papers.md#top)
* [Video prediction](papers/video/video_papers.md#top)
* [Action prediction](papers/action/action_papers.md#top)
* [Trajectory prediction](papers/trajectory/trajectory_papers.md#top)
* [Motion prediction](papers/motion/motion_papers.md#top)
* [Other prediction](papers/other/other_papers.md#top)
* [Papers with code](papers/papers_with_code/papers_with_code.md#top)
* [Datasets](datasets/datasets.md#top)
* [Alphabetical](datasets/alphabetical/alphabetical_datasets.md#top)
* [Year](datasets/year/year_datasets.md#top)
* [Application](datasets/application/application_datasets.md#top)
* [Task](datasets/task/task_datasets.md#top)
* [Annotation](datasets/annotation_datasets.md#top)
* [Metrics](metrics/metrics.md#top)
### 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](contribution.md)
### 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
### As of now I don't have any plan to continue adding works to this repo beyond 2024. The repository, however, stays up, hoping it will be beneficial to the community
* 9/02/2025: Added 2024 CoRL, IROS, ECCV, and NeurIPS (68 papers, 17 datasets and 12 metrics)
* 18/08/2024: Minor updates and change to dataset abbreviations (WOD->WOMD, SD->SDD)
* 18/08/2024: Added ICRA and RAL 2024 (46 papers) and missing RAL 2020-2023 (31 papers) (in total: 77 papers, 10 datasets, 16 metrics)
* 17/08/2024: Added ICLR and ICML 2024 papers (12 papers, 9 datasets, 4 metrics)
* 11/08/2024: Added CVPR 2024 papers (48 papers, 10 datasets, 13 metrics)
* 11/08/2024: Note that this is the last year covering ACCV and BMVC papers due to the volume of papers in other conferences
* 25/02/2024: Added IROS 2023 papers (16 papers, 4 datasets, 1 metric)
* 2/11/2023: Updated metrics. They are divided based on ranking and alphabetical order
* 2/11/2023: Updated some papers and 1 dataset is added
* 19/10/2023: Note that this is the last year covering WACV papers due to the volume of papers in other conferences
* 19/10/2023: Added 2023 papers for ICCV, CVPR, ICML, CoRL, ICRA, WACV (100 papers, 26 datasets, 23 metrics)
* 16/03/2023: Added IROS2022 and 2 additional (30 papers, 4 datasets, 2 metrics)
* 16/02/2023: Updated metric information for a number of trajectory prediction models
* 27/1/2023: Added 1 paper ECCV2022
* 18/1/202Excerpt of 5,941 characters
Read on GitHubWould you bet a product on this? Bounded 0–100 and slow moving.
matched fp:a57c708893882207, llm:Repository description and README: 'Deep Learning for Vision-based Prediction', categorized papers (Video, Action, Trajectory, Motion), lists datasets and metrics, topics include deep-learning, prediction, video, trajectory, motion, dataset, papers.
matched fp:a57c708893882207, llm:Repository description and README: 'Deep Learning for Vision-based Prediction', categorized papers (Video, Action, Trajectory, Motion), lists datasets and metrics, topics include deep-learning, prediction, video, trajectory, motion, dataset, papers.
matched fp:a57c708893882207, llm:Repository description and README: 'Deep Learning for Vision-based Prediction', categorized papers (Video, Action, Trajectory, Motion), lists datasets and metrics, topics include deep-learning, prediction, video, trajectory, motion, dataset, papers.