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Everything about DeepFace
Deep learning facial recognition system
DeepFace is a deep learning facial recognition system created by a research group at Facebook. It identifies human faces in digital images. The program employs a nine-layer neural network with over 120 million connection weights and was trained on four million images uploaded by Facebook users. The Facebook Research team has stated that the DeepFace method reaches an accuracy of 97.35% ± 0.25% on the Labeled Faces in the Wild (LFW) data set where human beings have 97.53%. This means that DeepFace is sometimes more successful than human beings. Wikipedia →
🧭 Start here: a 6-step reading path
- Read the overview: DeepFaceA 5-minute orientation
- Skim a recent paper: Multimodal fusion for real-time classroom engagement assessment using YOLOv9 and DeepFaceInfluential work since 2022
- Read the landmark paper: Deepface-Based Chaotic Image Encryption Using Key Optimization and Semi-Tensor Product TheoryCited 29 times
- Go sideways: Facial recognition systemA closely related topic
- Go sideways: Biometric Information Privacy ActA closely related topic
📖 Definitions
No dictionary entry for this exact phrase.
🏆 Landmark papers (most cited)
Deepface-Based Chaotic Image Encryption Using Key Optimization and Semi-Tensor Product Theory
Research and Analysis of Facial Recognition Based on FaceNet, DeepFace, and OpenFace
DeepFace-Attention: Multimodal Face Biometrics for Attention Estimation With Application to e-Learning
Hybrid-Blockchain-Based Electronic Voting Machine System Embedded with Deepface, Sharding, and Post-Quantum Techniques
DeepFace: Deep-learning-based framework to contextualize orofacial-cleft-related variants during human embryonic craniofacial development
DeepFace: Deep-learning-based framework to contextualize orofacial-cleft-related variants during human embryonic craniofacial development
AI and Deepface Influencers: The Challenge of Authenticity in the Online Space
Improved Accuracy of Face Recognition System to Identify Criminal Based on Innovative Feature Extractor to Improve Accuracy Using Deepface over LBPH Algorithm
🆕 Influential since 2022
Multimodal fusion for real-time classroom engagement assessment using YOLOv9 and DeepFace
Realtime Criminal Face Recognition System based on Innovative Facial Classification to Improve Accuracy using Arcface over Deepface
Real-Time Face Detection and Recognition Using Deepface Convolutional Neural Network
Enhancing DeepFace algorithm performance for emotion detection: an adaptive vision preprocessing approach using FER-2013 dataset
Real-Time Human Emotion Recognition and Analysis using DeepFace and OpenCV
📚 Books worth reading
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🔗 Related topics
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