We have collected images of celebrities in frontal and profile views. We have evaluated a variety of standard algorithms.

The current state-of-the-art on CFP-FP is GhostFaceNetV2-1. See a full comparison of 8 papers with code.

CFP-FP is not associated with any dataset. Add it as a variant to one of the existing datasets or create a new dataset page. Contact us on: hello ...

We have collected a new face data set that will facilitate research in the problem of frontal to profile face verifica- tion 'in the wild'.

Celebrities in Frontal-Profile in the Wild.

CFP consists of 10 folders, and each folder contains 350 same-person pairs and 350 different-person pairs for both frontal-frontal (CFP-FF) and frontal-profile ...

Examples of the validation datasets (LFW, CALFW, CPLFW, CFP-FP and AgeDB-30) augmented with face masks for masked face verification. The approach followed for ...

This is a face recognition framework based on PyTorch with convenient training, evaluation and feature extraction functions.

Many of these deep face recognition models perform relatively poorly in handling profile faces compared to frontal faces.

7 февр. 2022 г. · I am working with CFP-FP dataset. When I use data that is provided by Insight-face I get above the reported accuracy.