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.

Opis bibliograficzny
Główni autorzy:	Kowsar, Ibna, Zaman, Mashﬁq Shahriar, Sakib, Md. Fahmidur Rahman
Kolejni autorzy:	Kabir, Md. Hasanul
Format:	Praca dyplomowa
Język:	English
Wydane:	Brac University 2021
Hasła przedmiotowe:	Facial Expression Deep Learning RAF FER2013 CAMnet Attention
Dostęp online:	http://hdl.handle.net/10361/15461

Podobne zapisy

Accurate analysis of mood detection using eye-images rather than facial expression recognition (FER)
od: Hossain, Arafat, i wsp.
Wydane: (2023)

MEDNET – an approach to facial micro-emotion recognition using pixel binning and local Binary pattern - convolutional neural network
od: Araf, Tashreef Abdullah
Wydane: (2024)

Use of gestures and facial expression in language acquisition
od: Fyrooz Binte Mohsin
Wydane: (2016)

Study on human emotion based on facial expressions through human machine communication
od: Murshed, Tahmin Aysha, i wsp.
Wydane: (2021)

Shield key: a deep learning process for the generation of public & private keys using hybrid architecture in blockchain
od: Joy, Tanvir Ahmed, i wsp.
Wydane: (2021)

An efficient facial expression recognition method using mean And standard deviation
od: Laboni, Pragna, i wsp.
Wydane: (2017)

Behavior change analysis due to violent video gaming using deep learning models
od: Rahman, Akhlak Ur, i wsp.
Wydane: (2024)

Comparative analysis between Inception-v3 and other learning systems using facial expressions detection
od: Nivrito, AKM, i wsp.
Wydane: (2016)

Performance analysis of different machine learning approaches for single modal facial expression detection
od: Zinia, Surovi, i wsp.
Wydane: (2018)

Analysis of real-time hostile activitiy detection from spatiotemporal features using time distributed deep convolutional neural networks, recurrent neural networks and attention-based mechanisms
od: Siddique, Labib Ahmed, i wsp.
Wydane: (2022)

Real time dynamic facial recognition of subject at motion using angular image
od: Tasneem, Sharah, i wsp.
Wydane: (2024)

Early Schizophrenia Diagnosis with 3D Convolutional Neural Network
od: Ashraf, S.M. Nabil, i wsp.
Wydane: (2021)

Corn leaf disease detection using deep convolution neural network
od: Rabbi, Rawhatur, i wsp.
Wydane: (2023)

Cassava leaf disease classification using deep learning and convolutional neural network ensemble
od: Shahriar, Hasan, i wsp.
Wydane: (2022)

Emotion recognition from facial expression of autism spectrum disordered children using image processing and machine learning algorithms
od: Tasnim, Nishat, i wsp.
Wydane: (2019)

An eﬃcient deep learning approach for detecting lung disease from chest X-ray images using transfer learning and ensemble modeling
od: Sagor, Mostofa Kamal, i wsp.
Wydane: (2021)

A modern technique to detect potholes by Computer Vision and Deep Learning
od: Saif, Muntasir Mahmud, i wsp.
Wydane: (2023)

Visual object recognition using deep convolutional neural network
od: Ahmed, Sabbir
Wydane: (2017)

Classification of peripheral blood cell images using deep learning
od: Aadi, Oyshik Ahmed, i wsp.
Wydane: (2024)

Bangali Handwritten characters classification using Deep Convolutional Neural Network
od: Sikder, Shihab Uddin, i wsp.
Wydane: (2022)

An efficient deep learning approach to detect skin Cancer
od: Islam, Ashfaqul, i wsp.
Wydane: (2022)

Application of CNN based architectures in detection of distracted drivers
od: Arafin, Irfana, i wsp.
Wydane: (2023)

Analysis of transformer and CNN based approaches for classifying renal abnormality from image data
od: Reza, S. M. Mushfiq, i wsp.
Wydane: (2024)

Damaged road detection using Image Processing and Deep Learning
od: Swadesh, Shimran Mahbub, i wsp.
Wydane: (2022)

Recall-Net: A CNN-based Model for Four-class Classification of Alzheimer’s Disease
od: Hasan, M. M. Kamrul, i wsp.
Wydane: (2022)

Deep convolutional GAN-based data augmentation for medical image classification
od: Datta, Joy, i wsp.
Wydane: (2022)

Predicting crime using deep learning
od: Shihab, Muhammad Nafees, i wsp.
Wydane: (2024)

Deep learning-based real-time pothole detection for avoiding road accident
od: Basher, Rafsan, i wsp.
Wydane: (2022)

Financial factors analysis for acquisition premium and anticipation using extreme gradient boosting and deep recurrent neural network
od: Rayhan, Mohammad, i wsp.
Wydane: (2020)

An interpretable transformer based approach to classify Malaria from blood cell images
od: Islam, Mehafuza, i wsp.
Wydane: (2023)

Detection of handwritten text using convolutional neural network
od: Jasim, Rabib Bin, i wsp.
Wydane: (2024)

Traffic sign recognition using deep learning
od: Amir, Afia Binte, i wsp.
Wydane: (2020)

Epileptic seizure prediction using bandpass filtering and convolutional neural network
od: Rahman, Tasnia, i wsp.
Wydane: (2022)

Sentiment analysis on Bangladesh airlines review data using machine learning
od: Hasib, Khan Md.
Wydane: (2022)

Predicting the outcome of purchasing a hotel package to assist policymakers using machine learning
od: Islam, Zahedul, i wsp.
Wydane: (2023)

DeepWPD: A deep learning based wavelet packet decomposition to remove Moiré pattern from screen capture images.
od: Khan, Ibrahim
Wydane: (2023)

Health trauma and well-being assistant for Bengali seniors in household: a multimodal approach
od: Islam, Md. Nazmul, i wsp.
Wydane: (2024)

Skin cancer detection and classification using multiple optimized deep convolutional neural network
od: Sakir, Adnan, i wsp.
Wydane: (2023)

Deep learning based automated diagnosis of Ocular Toxoplasmosis in fundus images using convolutional neural network
od: Choudhury, Prionto Kumar, i wsp.
Wydane: (2024)

Implementing machine learning techniques to forecast floods In Bangladesh based on historical data
od: Toufique, S.M, i wsp.
Wydane: (2024)