Term project for my NCTU course "Image-based Modeling and Rendering"
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Updated
Feb 15, 2017 - C++
Term project for my NCTU course "Image-based Modeling and Rendering"
PyTorch Implementation for Segmentation and Saliency Prediction
Final Project of Advanced Data Structure and Algorithm
Implementation of algorithm for foreground-background separation in low quality patrimonial document images.
Adaptive foreground-background segmentation using Gaussian Mixture Models (GMMs)
FgSegNet: Foreground Segmentation Network, Foreground Segmentation Using Convolutional Neural Networks for Multiscale Feature Encoding
Simplified Deep Image Matting training code with keras on tensorflow
Foreground and background segmentation using OpenCV and C++
An official repository for "Background subtraction based on Gaussian mixture models using color and depth information".
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.
Python-based OpenCV program for detecting leaves and creating segmentation masks based on images in the Komatsuna dataset.
End-to-end CNN-based Autoencoder that can segment any objects even if it is out of the classes present in the training set.
Unsupervised, one-shot, instance-based active contour using deep learning features in python.
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