Owen-Liuyuxuan / FSNet

Full Scale Monocular Depth Prediction. Official Implementation of "FSNet: Redesign Self-Supervised MonoDepth for Full-Scale Depth Prediction for Autonomous Driving" https://arxiv.org/abs/2304.10719

Date Created 2023-04-03 (about a year ago)

Commits 5 (last one about a year ago)

Stargazers 62 (0 this week)

Watchers 3 (0 this week)

Forks 3

License unknown

Ranking

RepositoryStats indexes 585,880 repositories, of these Owen-Liuyuxuan/FSNet is ranked #401,678 (31st percentile) for total stargazers, and #423,021 for total watchers. Github reports the primary language for this repository as Python, for repositories using this language it is ranked #76,091/116,710.

Owen-Liuyuxuan/FSNet is also tagged with popular topics, for these it's ranked: depth-estimation (#113/160)

Other Information

Owen-Liuyuxuan/FSNet has Github issues enabled, there are 4 open issues and 0 closed issues.

There have been 1 release, the latest one was published on 2023-08-16 (about a year ago) with the name v1.0 Single Res101 Model trained with KITTI/KITTI360/Nuscenes.

Homepage URL: https://sites.google.com/view/fsnet/

All Topics

kitti360 nuscenes kitti-dataset depth-estimation monocular-depth-estimation

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5 commits on the default branch (master) since jan '22

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The primary language is Python but there's also others...

updated: 2024-08-31 @ 08:21am, id: 622839482 / R_kgDOJR_Gug