FgSegNet: Foreground Segmentation Network, Foreground Segmentation Using Convolutional Neural Networks for Multiscale Feature Encoding

Simplified Deep Image Matting training code with keras on tensorflow

Adaptive foreground-background segmentation using Gaussian Mixture Models (GMMs)

Python-based OpenCV program for detecting leaves and creating segmentation masks based on images in the Komatsuna dataset.

PyTorch Implementation for Segmentation and Saliency Prediction

Unsupervised, one-shot, instance-based active contour using deep learning features in python.

My additions to the state of the art foreground extraction method by Long Ang LIM and Hacer YALIM KELES. The original paper can be found at the link below.

End-to-end CNN-based Autoencoder that can segment any objects even if it is out of the classes present in the training set.

Term project for my NCTU course "Image-based Modeling and Rendering"

An official repository for "Background subtraction based on Gaussian mixture models using color and depth information".

Implementation of algorithm for foreground-background separation in low quality patrimonial document images.

Foreground and background segmentation using OpenCV and C++

Final Project of Advanced Data Structure and Algorithm