JRestom

Diff_Retrieval

EWCU

DomAIn_white_blood_cells

Faster_Neurangelo

Next-ViT

WhatKindOfFoodIsABirdDog

The goal was to design, train, and evaluate an image classification method on CUB, CUB + Stanford Dogs and FoodX datasets. We conducted several experiments with traditional ConvNets (AlexNet, SqueezeNet, ResNet, DenseNet), MLP-Mixer, ConvNext and Swin Transformer

ImageClassification-With-DL

Using different techniques to create Deep Learning classifier

Differential-privacy-with-R

Script using differential privacy with R

Lighter-Stacked-Hourglass

Modified stacked Hourglass architecture for Human pose estimation (HPE)