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2017-multimedia-satellite-task icon 2017-multimedia-satellite-task

This task requires participants to retrieve and link multimedia content from social media streams of events (e.g. flooding, fires, land clearing) that can be remotely sensed from satellite imagery. The purpose of this task is to augment events captured by satellite images with social media reports in order to provide a more comprehensive view.

3d-unet-pytorch icon 3d-unet-pytorch

An implementation of 3D U-Net CNN models for the task of voxel-wise semantic segmentation of 3D MR images for isolation of Low-Grade and High Grade Gliomas, the common types of brain tumour.

adapnet-pp icon adapnet-pp

TensorFlow model for training AdapNet++ for semantic segmentation

adaptsegnet icon adaptsegnet

Learning to Adapt Structured Output Space for Semantic Segmentation, CVPR 2018 (spotlight)

aerial_mtl icon aerial_mtl

PyTorch implementation for multi-task learning with aerial images for the datasets: IEEE Data Fusion Contest 2018 (DFC2018) and ISPRS-Vaihingen.

attention-gated-networks icon attention-gated-networks

Use of Attention Gates in a Convolutional Neural Network / Medical Image Classification and Segmentation

awesome-ai-ml-dl icon awesome-ai-ml-dl

Awesome Artificial Intelligence, Machine Learning and Deep Learning as we learn it. Study notes and a curated list of awesome resources of such topics.

awesome-semantic-segmentation-pytorch icon awesome-semantic-segmentation-pytorch

Semantic Segmentation on PyTorch (include FCN, PSPNet, Deeplabv3, Deeplabv3+, DANet, DenseASPP, BiSeNet, EncNet, DUNet, ICNet, ENet, OCNet, CCNet, PSANet, CGNet, ESPNet, LEDNet, DFANet)

beaverdam icon beaverdam

Video annotation tool for deep learning training labels

berrynet icon berrynet

Deep learning gateway on Raspberry Pi And Other Edge Devices

bonnet icon bonnet

Bonnet: An Open-Source Training and Deployment Framework for Semantic Segmentation in Robotics.

capsgnn icon capsgnn

A PyTorch implementation of "Capsule Graph Neural Network" (ICLR 2019).

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