thuyngch/Image-Forgery-using-Deep-Learning

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Created over 5 years ago
Updated over 1 year ago

thuyngch/Image-Forgery-using-Deep-Learning

thuyngch

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Image Forgery Detection using Deep Learning, implemented in PyTorch.

Human-Segmentation-PyTorch

Human segmentation models, training/inference code, and trained weights, implemented in PyTorch

Jupyter Notebook

Iris-Recognition-PyTorch

An end-to-end Iris Recognition implementation using PyTorch

ATSS-EfficientDet-PyTorch

ATSS-EfficientDet implemented in PyTorch, outperforming the original EfficientDet. Weights are released.

Face-Attendance-System

An Attendance Checking System using Deep Facial Recognition, written in Python.

Overcoming-Catastrophic-Forgetting

An implementation of the paper "Overcoming catastrophic forgetting in neural networks" (DeepMind, 2016), using Pytorch framework.

Parallel-Face-Recognition

A facial recognition system that is parallelized in order to speed up the computational performance.

Event-info-extraction-from-flyers

Extract key information (i.e., time and location) of an event from a poster/flyer using Digital image processing technique.

Variational-Autoencoder-PyTorch

PyTorch implementations of Variational Autoencoder and Conditional Variational Autoencoder

Jupyter Notebook

Image-Forensic-Resources

List of resources used for developing Image-Forensic algorithms

cvut

Computer Vision UTils

DSTNet

Rank 5th in 2D-Tracking and Rank 10th in 2D-Detection, Waymo Open Dataset Challenge 2020

dog-cat-classifier

Jupyter Notebook

cythonizer

Cythonize: Build Python code as .so files

MSP430G2553

Automatic-control-via-Internet

We build an IoT system including Raspberry and Micro-controller. This project is applied for home security.

MO-51

A system simulates using RAM to store code instead of ROM with 8051 micro-controller.