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As the following table shows, the forefront of deep learning research is driven by large private datasets. In face recognition, there are no open source implementations or models trained on these datasets. If you have access to a large dataset, we are very interested in training a new ...
As the following table shows, the forefront of deep learning research is driven by large private datasets. In face recognition, there are no open source implementations or models trained on these datasets. If you have access to a large dataset, we are very interested in training a new ...
Face Recognition (FR) is increasingly influencing our lives: we use it to unlock our phones; police uses it to identify suspects. Two main concerns are ass
Furthermore, in Section 5, we showcase an Android-based smartphone app that can be used as a proof of concept to deploy audio-based face mask recognition models; benchmarking of the run-time of the top models is included. Concluding remarks are given in Section 6. 2. The Mask Sub-...
While popular datasets contain multiple faces in one image, some research only involves one face per image. In such cases, the detection accuracy of the face detector is calculated. Face detection algorithms are used as a pre-processing step for face recognition pipelines. 2.1.2 Face verification...
Latest papers Most implemented Social Latest No code CemiFace: Center-based Semi-hard Synthetic Face Generation for Face Recognition szlbiubiubiu/CemiFace • 27 Sep 2024 Privacy issue is a main concern in developing face recognition techniques....
3D face reconstruction is a problem in biometrics, which has been expedited due to deep learning models. Several 3D face recognition research contributors have improved in the last five years (see Fig.1). Various applications such as reenactment and speech-driven animation, facial puppetry, video...
All these ideas together, when implemented into a single framework, result in a fast, robust, and reliable face recognition method, as demonstrated in this paper by numerous experiments. To increase the recognition accuracy, future research could further examine noisy environments using a non-local ...
multimodal human recognition;image blurring;low illumination;indoor and outdoor environments MSC: 68Txx; 68Uxx 1. Introduction 1.1. Research Motivation In recent years, studies on human recognition in indoor and outdoor environments have been conducted. For example, there are studies on enhancing bl...