We ran our experiments on two publicly available datasets namely, the controlled Brazilian FEI and the uncontrolled LFW dataset. Our results show that individual parts of the face such as the eyes, nose and the cheeks have low recognition rates though the rate of recognition quickly goes up ...
6.1.1.3Datasets for deep face recognition experimentation There are a number of face datasets that can be utilized for training and testing the deepface recognitionmodels. Here, we provide details of some of them. TheLFWDataset:The Labelled Faces in the Wild (LFW) (Huang et al., 2008) is ...
Face Recognition has industry-leading accuracy and is record-breaking in international competitions. It achieved 99.80% accuracy in LFW 2017 and ranked 1st in terms of first-attempt recognition rate (83.29%) in the MegaFace million-scale dataset. ...
Face recognition on large-scale video in the wild with hybrid Euclidean-and-Riemannian metric learning 热度: weed management in the soybean crop:大豆作物的杂草管理 热度: LFW作物Face数据集(LabeledFacesintheWild (LFW)cropFaceDataset) 数据介绍: ...
FaceNet for face recognition using pytorch. Contribute to tbmoon/facenet development by creating an account on GitHub.
Guo, Y., Zhang, L., Hu, Y., He, X., Gao, J.: Ms-celeb-1m: A dataset and benchmark for large-scale face recognition. arXiv preprint, arXiv: 1607.08221 (2016) Deng, J., Guo, J., Zafeiriou, S.: ArcFace: Additive Angular Margin Loss for Deep Face Recognition. arXiv preprint,...
However, it is very tough to collect such kind of dataset in real word. In this paper, we design a deep network system using both visible light image and near-infrared image. Besides conventional recognition tasks of visible light face images, recognition of near-infrared face images also ...
We conduct experiments based on high dimensional LBP features and features extracted by a shallow Convolutional Neural Network, and succeed to verify the effectiveness of this method, using image data from benchmark dataset LFW. Introduction Face recognition is a long-studied integrated task to locate...
The LFW accuracy of this model is around 0.994. 2017-01-02 Updated to code to run with Tensorflow r0.12. Not sure if it runs with older versions of Tensorflow though. Pre-trained models Model nameLFW accuracyTraining dataset 20170131-005910 0.985 CASIA-WebFace 20170131-234652 0.993 MS-Celeb-...
Face Recognition using Tensorflow This is a TensorFlow implementation of the face recognizer described in the paper "FaceNet: A Unified Embedding for Face Recognition and Clustering". The project also uses ideas from the paper "A Discriminative Feature Learning Approach for Deep Face Recognition" as ...