Methods › Computer Vision › Face Detection Models › TinaFace
TinaFace
Introduced by Yanjia Zhu et al. in TinaFace: Strong but Simple Baseline for Face Detection
archive 2025-07-28 Description, source and code snippet are the archive's method entry.
TinaFace is a type of face detection method that is based on generic object detection. It consists of (a) Feature Extractor: ResNet-50 and 6 level Feature Pyramid Network to extract the multi-scale features of input image; (b) an Inception block to enhance receptive field; (c) Classification Head: 5 layers FCN for classification of anchors; (d) Regression Head: 5 layers FCN for regression of anchors to ground-truth objects boxes; (e) IoU Aware Head: a single convolutional layer for IoU prediction.
Papers archive 2025-07-28
2 shown of 2, newest first. Repository counts are the archive's code-links table. A Syntology line states what Syntology ran from that paper's harvested code; it is per sample and not a correctness claim.
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Sample and Computation Redistribution for Efficient Face Detection 10 May 2021 · 8 repositories · arXiv:2105.04714Syntology ran 3 of 7 samples · 4 unverified
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TinaFace: Strong but Simple Baseline for Face Detection 26 Nov 2020 · 2 repositories · arXiv:2011.13183
Tasks archive 2025-07-28
5 tasks the archive attaches to papers tagged with this method, by distinct papers. A task without a page in the catalog is plain text.
| Task | Papers |
|---|---|
| Face Detection | 2 |
| Data Augmentation | 1 |
| Object Detection | 1 |
| Occluded Face Detection | 1 |
| object-detection | 1 |
Usage over time archive 2025-07-28
Components: the archive holds no method-to-method composition, so PwC's Components table cannot be rebuilt; the Papers list carries no Results column for the same reason (the archive does not join its leaderboard rows to method tags).
Categories archive 2025-07-28
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