[official] No reference image quality assessment based Semantic Feature Aggregation, published in ACM MM 2017, TMM 2019
MATLAB Fashion Classification with Deep Learning.
Check the effect of quantization on ResNets architecture
The aim of project is detecting the type of disease eye suffers from by using fundus images. The majority of the identification models in use exclusively concentrate on one particular ocular disease. Therefore, My goal was to create a model for automatically classifying many ocular diseases using fundus photos as input and reporting disease type.
Object detection technique using RCNN
In this repository, you will get access for the presentation, and also the codes for using MATLAB and simulink with Raspbery Pi. The repository contains steps for deploying pre-trained image classification model ResNet50 inside the Raspberry Pi, as well as Simulink models for Pitch shifters, image inversion and many more.
Application of deep learning to medical imaging
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