Source code for "Online Unsupervised Domain Adaptation for Semantic Segmentation in Ever-Changing Conditions", ECCV 2022. This is the code has been implemented to perform training and evaluation of UDA approaches in continuous scenarios. The library has been implemented in PyTorch 1.7.1. Some newer versions should work as well.
active 2023-09-12 → 2024-09-28 (UTC)
Activity over time
Daily event counts in the loaded window
Line chart, 383 days from 2023-09-12 to 2024-09-28. Pushes: 1 total, peak 1 in a day. Pull requests: 0 total, peak 0 in a day. Issues: 5 total, peak 2 in a day. Comments: 2 total, peak 2 in a day. Stars: 6 total, peak 2 in a day.
- Pushes
- Pull requests
- Issues
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- Stars
Top contributors
Pushes, PRs, issues, reviews and comments — stars and forks excluded, so this is contribution rather than popularity
| Contributor | Contributions | Pushes | PRs | Comments |
|---|---|---|---|---|
| theo2021 | 5 | 1 | 0 | 1 |
| Sumanth181099 | 3 | 0 | 0 | 1 |
Recent activity
Latest issues, pull requests and releases
- Issue#3theo20212024-06-11 17:54Question about Equ. (2)
- Issue#5theo20212024-06-11 17:52How to get pretrained source model for DeepLabV3 plus along with first 10 epochs prototype?
- Issue#4theo20212024-01-04 11:55Cannot reproduce the results of Table 1(a) for OnDA-Hybrid Switch for 200mm rain condition
- Issue comment#4Sumanth1810992024-01-04 11:51Cannot reproduce the results of Table 1(a) for OnDA-Hybrid Switch for 200mm rain condition
- Issue comment#4theo20212024-01-04 11:07Cannot reproduce the results of Table 1(a) for OnDA-Hybrid Switch for 200mm rain condition
- Issue#5Sumanth1810992024-01-04 10:25How to get pretrained source model for DeepLabV3 plus along with first 10 epochs prototype?
- Issue#4Sumanth1810992023-12-28 09:48Cannot reproduce the results of Table 1(a) for OnDA-Hybrid Switch for 200mm rain condition
Totals cover only the window loaded into ClickHouse and count events, not GitHub's lifetime totals — 6 stars here means stars gained during the window, not the repo's star count.