Facial expression recognition: convolutional attentional masking network and ensemble approach

Facial expression recognition: convolutional attentional masking network and ensemble approach

This thesis is submitted in partial fulfillment of the requirements for the degree of Bachelor of Science in Computer Science and Engineering, 2021.

Xehetasun bibliografikoak
Egile Nagusiak:	Kowsar, Ibna, Zaman, Mashﬁq Shahriar, Sakib, Md. Fahmidur Rahman
Beste egile batzuk:	Kabir, Md. Hasanul
Formatua:	Thesis
Hizkuntza:	English
Argitaratua:	Brac University 2021
Gaiak:	Facial Expression Deep Learning RAF FER2013 CAMnet Attention
Sarrera elektronikoa:	http://hdl.handle.net/10361/15461

Antzeko izenburuak

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Comparative analysis between Inception-v3 and other learning systems using facial expressions detection
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Performance analysis of different machine learning approaches for single modal facial expression detection
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Deep learning-based real-time pothole detection for avoiding road accident
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An interpretable transformer based approach to classify Malaria from blood cell images
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Detection of handwritten text using convolutional neural network
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Epileptic seizure prediction using bandpass filtering and convolutional neural network
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Sentiment analysis on Bangladesh airlines review data using machine learning
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Predicting the outcome of purchasing a hotel package to assist policymakers using machine learning
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DeepWPD: A deep learning based wavelet packet decomposition to remove Moiré pattern from screen capture images.
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Skin cancer detection and classification using multiple optimized deep convolutional neural network
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Deep learning based automated diagnosis of Ocular Toxoplasmosis in fundus images using convolutional neural network
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