TinaFace
TinaFace
**TinaFace** is a type of face detection method that is based on generic object detection. It consists of (a) Feature Extractor: [ResNet](https://paperswithcode.com/method/resnet)-50 and 6 level [Feature Pyramid Network](https://www.paperswithcode.com/method/fpn) to extract the multi-scale features of input image; (b) an Inception block to enhance receptive field; (c) Classification Head: 5 layers [FCN](https://paperswithcode.com/method/fcn) for classification of anchors; (d) Regression Head: 5 layers [FCN](https://paperswithcode.com/method/fcn) for regression of anchors to ground-truth objects boxes; (e) IoU Aware Head: a single convolutional layer for IoU prediction.
TinaFace: Strong but Simple Baseline for Face Detection
https://paperswithcode.com/paper/tinaface-strong-but-simple-baseline-for-face
TinaFace: Strong but Simple Baseline for Face Detection