Code for CVPR 2023 paper "Rethinking Domain Generalization for Face Anti-spoofing: Separability and Alignment"
active 2023-08-15 → 2026-02-03 (UTC)
Activity over time
Daily event counts in the loaded window
Line chart, 904 days from 2023-08-15 to 2026-02-03. Pushes: 0 total, peak 0 in a day. Pull requests: 0 total, peak 0 in a day. Issues: 15 total, peak 4 in a day. Comments: 9 total, peak 3 in a day. Stars: 60 total, peak 2 in a day.
- Pushes
- Pull requests
- Issues
- Comments
- Stars
Stars, PRs, issues and forks are under-captured in the later part of this window. GH Archive progressively stopped capturing non-push events during 2026 — −95% or worse by the end of the window. Every series here except Pushes fades for that reason, so a decline above reflects the archive, not this repository. Pushes stay reliable throughout, so read them, and the contributor counts derived from them, as the real signal. Data health has the measurements.
Top contributors
Pushes, PRs, issues, reviews and comments — stars and forks excluded, so this is contribution rather than popularity
| Contributor | Contributions | Pushes | PRs | Comments |
|---|---|---|---|---|
| sunyiyou | 9 | 0 | 0 | 5 |
| JohnCarpenter2 | 3 | 0 | 0 | 0 |
| yue404 | 2 | 0 | 0 | 0 |
| Nurmukhammeds | 2 | 0 | 0 | 1 |
| allenliuvip | 2 | 0 | 0 | 0 |
| tangwudu | 1 | 0 | 0 | 0 |
| PriceYH | 1 | 0 | 0 | 1 |
| Mohammad-RaselR | 1 | 0 | 0 | 0 |
| nguyenvulong | 1 | 0 | 0 | 0 |
| deeperlearner | 1 | 0 | 0 | 1 |
| chandan5362-rgb | 1 | 0 | 0 | 1 |
Recent activity
Latest issues, pull requests and releases
- Issue#23Mohammad-RaselR2025-09-16 06:55Can you please provide detailed instructions on how to use the project for inference using the pre-trained models? #17
- Issue comment#22deeperlearner2025-06-20 07:56Unexpected Results with Provided Pre-Trained Weights
- Issue comment#22chandan5362-rgb2025-05-21 10:36Unexpected Results with Provided Pre-Trained Weights
- Issue#22yue4042024-11-08 08:39Unexpected Results with Provided Pre-Trained Weights
- Issue comment#21Nurmukhammeds2024-07-16 06:42Question about Training SAFAS on Custom Datasets with Different Domains
- Issue comment#21sunyiyou2024-07-15 16:36Question about Training SAFAS on Custom Datasets with Different Domains
- Issue#21Nurmukhammeds2024-07-15 07:29Question about Training SAFAS on Custom Datasets with Different Domains
- Issue comment#20sunyiyou2024-06-07 19:34How to properly load the dataset
- Issue#20sunyiyou2024-06-07 19:34How to properly load the dataset
- Issue comment#19sunyiyou2024-06-07 19:32How can we utilize the score output by an SAFAS model to determine whether a face image is live or spoof?
- Issue#19sunyiyou2024-06-07 19:32How can we utilize the score output by an SAFAS model to determine whether a face image is live or spoof?
- Issue comment#18sunyiyou2024-06-07 19:30ModuleNotFoundError: No module named 'ylib.scipy_misc'
- Issue#18sunyiyou2024-06-07 19:30ModuleNotFoundError: No module named 'ylib.scipy_misc'
- Issue#20yue4042024-06-07 06:44How to properly load the dataset
- Issue#19JohnCarpenter22024-01-26 00:25How can we utilize the score output by an SAFAS model to determine whether a face image is live or spoof?
- Issue#18JohnCarpenter22024-01-25 06:07ModuleNotFoundError: No module named 'ylib.scipy_misc'
- Issue#17JohnCarpenter22024-01-25 03:25Can you please provide detailed instructions on how to use the project for inference using the pre-trained models?
- Issue#16nguyenvulong2024-01-20 10:12pretrained model
- Issue comment#8PriceYH2024-01-09 13:57about test transform
- Issue#15allenliuvip2023-11-16 04:57when i use the model saved to infer, i find the feature is different every time
- Issue#15allenliuvip2023-11-15 03:19when i use the model saved to infer, i find the feature is different every time
- Issue comment#14sunyiyou2023-09-05 19:32why RandomResizedCrop during training?
- Issue#14sunyiyou2023-09-05 19:32why RandomResizedCrop during training?
- Issue#14tangwudu2023-09-05 06:42why RandomResizedCrop during training?
Totals cover only the window loaded into ClickHouse and count events, not GitHub's lifetime totals — 60 stars here means stars gained during the window, not the repo's star count.