This repository contains our work on ensembling in semantic image segmentation as part of the Google Research Kaggle competition "Identify Contrails to Reduce Global Warming".
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Updated
Jul 29, 2023 - Jupyter Notebook
This repository contains our work on ensembling in semantic image segmentation as part of the Google Research Kaggle competition "Identify Contrails to Reduce Global Warming".
Use DeeplabV3+ to segment the flexor tendon, median nerve, and carpal tunnel separately from MR images.
This repo hosts the water body extraction from satellite images using DeeplabV3+ model.
This project extends support for DeepLabV3+ implementation on TensorFlow with multiple backbones, including: ResNet50/101/V2, DenseNet121/169, MobileNet/V2, and VGG16/19.
minimal-segmentation
Fine-tune and evaluate deep learning models built with PyTorch for semantic segmentation of trees from satellite imagery of forestry areas.
Implementation of state-of-the-art models to do segmentation over our own dataset.
Image segmentation using deeplab
3rd place solution of Seismic Facies Identification Challenge
A Tensorflow implementation of Deeplabv3+ trained on VOC2012.
I am aiming to write different Semantic Segmentation models from scratch with different pretrained backbones.
Source code for "Amodal Instance Segmentation and Multi-Object Tracking with Deep Pixel Embedding"
PyTorch Implementation of Semantic Segmentation CNNs: This repository features key architectures like UNet, DeepLabv3+, SegNet, FCN, and PSPNet. It's crafted to provide a solid foundation for Semantic Segmentation tasks using PyTorch.
Monocular Depth Estimation via a Fully Convolutional Deep Neural Network, utilising Atrous Convolutions, with 3D Point Cloud Visualisation.
Tensorflow-Keras semantic segmentation
In search of effective and efficient Pipeline for Distillating Knowledge in Convolutional Neural Networks
DeepLabV3Plus for Beginners in Cityscapes Dataset
A Tensorflow implementation of Deep Lab V3 Plus from scratch.
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