RetinaFace: Single-stage Dense Face Localisation in the Wild

September 2019

tl;dr: Single stage face detection with landmark regression and dense face regression. Landmark regression helps object detection.

Overall impression

The paper is from the same authors of ArcFace.

Joint face detection and alignment (landmark regression) has been widely used, such as MT-CNN. This paper also adds a dense face regression branch by generating mesh and reproject to 2D image and calculating the photometric loss. This self-supervised branch (can be turned off during inference) helps boost the performance of object detection.

Face detection can be trained on GPU, but inference on CPU is still the most popular choice, for surveillance purpose, etc.

Key ideas

Technical details