TinaFace

2000년 도입 · 논문 2편에서 사용

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.

출처: TinaFace: Strong but Simple Baseline for Face Detection

소개 논문: TinaFace: Strong but Simple Baseline for Face Detection