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
A robot motion planning simulator that can efficiently navigate partially observable environments using deep learning
An API that detect expiration date from the product package's picture based on Deep Learning Algorithms
Protein Residue Contact Prediction based on a Deep Neural Architecture
semantic-segmentation
Neonate segmentation project at NIRAL, UNC, with Dr. Martin Styner.
This Project is Semantic Segmentation Project of Term 3 of Udacity Self-Driving Car Engineer Nanodegree.
Master's thesis
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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