Face Detection Models
TinaFace
Introduced by Zhu et al. in TinaFace: Strong but Simple Baseline for Face DetectionTinaFace 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.
Source: TinaFace: Strong but Simple Baseline for Face Detection
Papers
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Usage Over Time
Components
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| 🤖 No Components Found | You can add them if they exist; e.g. Mask R-CNN uses RoIAlign |
