Obscure face recognition using deep neural networks

Obscure face recognition using deep neural networks

This thesis is submitted in partial fulfillment of the requirements for the degree of Bachelor of Science in Computer Science, 2023.

Λεπτομέρειες βιβλιογραφικής εγγραφής
Κύριοι συγγραφείς:	Akash, MD Shahadat Hossain, Sharife, Shadman Bin, Datta, Bondon
Άλλοι συγγραφείς:	Huq, Aminul
Μορφή:	Thesis
Γλώσσα:	English
Έκδοση:	Brac University 2023
Θέματα:	Facial recognition Face detection Convolution Neural Networks Deep Neural Network InceptionResNetV1 ArcFace loss function SE-ResNeXt-101 Triplet loss function Facial expression. Artificial intelligence Neural networks (Computer science)
Διαθέσιμο Online:	http://hdl.handle.net/10361/21936

Παρόμοια τεκμήρια

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Analysis on face recognition based on five different viewpoint of face images using MTCNN and FaceNet
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Performance analysis of different machine learning approaches for single modal facial expression detection
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MalFam: a comprehensive study on malware families with state-of-the-art CNN architectures with classifications and XAI
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Online language teaching and learning: present condition and future prospects in Bangladeshi primary education system
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A squeeze and excitation ResNeXt-based deep learning model for Bangla handwritten basic to compound character recognition
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Plant disease detection using convolutional neural network
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Speech command classification based on deep neural networks
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Leveraging robust CNN architectures for real-time object recognition from conveyor belt
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Alzheimer’s Disease detection and classification using transfer learning techniques and ensembling operations on convolutional neural networks
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Detection of prodromal parkinson’s disease with fMRI data and deep neural network approaches
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Multi-classification Network for Detecting Skin Diseases using Deep Learning and XAI
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Facial expression recognition: convolutional attentional masking network and ensemble approach
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