https://syniez.github.io/SlaBins/

Official repository for SlaBins: Fisheye Depth Estimation using Slanted Bins on Road Environments (ICCV 2023)
https://syniez.github.io/SlaBins/

Last synced: 3 months ago
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Official repository for SlaBins: Fisheye Depth Estimation using Slanted Bins on Road Environments (ICCV 2023)

• Host: GitHub
• URL: https://syniez.github.io/SlaBins/
• Owner: Syniez
• License: mit
• Created: 2023-10-31T07:48:03.000Z (about 1 year ago)
• Default Branch: main
• Last Pushed: 2023-10-31T11:04:48.000Z (about 1 year ago)
• Last Synced: 2024-05-13T22:38:16.785Z (6 months ago)
• Homepage:
• Size: 784 KB
• Stars: 95
• Watchers: 3
• Forks: 1
• Open Issues: 2
• Metadata Files:
  • Readme: README.md
  • License: LICENSE

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• Awesome-Monocular-Depth - SlaBins: Fisheye Depth Estimation using Slanted Bins on Road Environments

README

        
# SlaBins

This is the official repository of ICCV 2023 paper "SlaBins: Fisheye Depth Estimation using Slanted Bins on Road Environments".

[Paper link](https://openaccess.thecvf.com/content/ICCV2023/papers/Lee_SlaBins_Fisheye_Depth_Estimation_using_Slanted_Bins_on_Road_Environments_ICCV_2023_paper.pdf) | [Project page](https://syniez.github.io/SlaBins/)

## Methodology



  



To train our model, we pre-made camera lookup tables about SynWoodScape and KITTI-360 dataset using same code in OmniDet.

We will provide our LUTs and the data preprocessing codes.


Unfortunately, model codes are not available because the work was corporated with company.

## Datasets

We trained and evaluated our method on two fisheye datasets [SynWoodScape](https://arxiv.org/abs/2203.05056), and [KITTI-360](https://github.com/autonomousvision/kitti360Scripts).

Because of the lack of images on SynWoodScape dataset (only 500 sequences are pre-released) and fixed camera slanted angle on KITTI-360 dataset, we used both datasets with our angle augmentation.

Our augmentation codes are available in this repository, and augmented datasets could be downloaded in the [Project page](https://syniez.github.io/SlaBins/).

## Citation

If you found our code helpful for your research, please cite our paper as:

```

 @InProceedings{Lee_2023_ICCV,

    author    = {Lee, Jongsung and Cho, Gyeongsu and Park, Jeongin and Kim, Kyongjun and Lee, Seongoh and Kim, Jung-Hee and Jeong, Seong-Gyun and Joo, Kyungdon},

    title     = {SlaBins: Fisheye Depth Estimation using Slanted Bins on Road Environments},

    booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)},

    month     = {October},

    year      = {2023},

    pages     = {8765-8774}

}

```