Fully convolutional deep neural network to remove transparent overlays from images
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Updated
Mar 29, 2021 - Python
Fully convolutional deep neural network to remove transparent overlays from images
Multi-Planar UNet for autonomous segmentation of 3D medical images
An API that detect expiration date from the product package's picture based on Deep Learning Algorithms
A robot motion planning simulator that can efficiently navigate partially observable environments using deep learning
Protein Residue Contact Prediction based on a Deep Neural Architecture
Neonate segmentation project at NIRAL, UNC, with Dr. Martin Styner.
semantic-segmentation
Master's thesis
This Project is Semantic Segmentation Project of Term 3 of Udacity Self-Driving Car Engineer Nanodegree.
Labeled the pixels of a road in images using a Fully Convolutional Network (FCN).
using deep learning (semantic segmentation, FCN) to find drivable parts of the road
Pixel segmentation of roads from dashboard camera using Fully Convolutional Network
A real-time application of the LIGHT-SERNET model
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