6644 Open source projects that are alternatives of or similar to Multi Task Refinenet

TensorFlow-based implementation of "ICNet for Real-Time Semantic Segmentation on High-Resolution Images".

An out-of-box human parsing representation extractor.

A real time optical flow algorithm implemented on GPU

VPGNet: Vanishing Point Guided Network for Lane and Road Marking Detection and Recognition (ICCV 2017)

Keras version of Realtime Multi-Person Pose Estimation project

ResUNet, a semantic segmentation model inspired by the deep residual learning and UNet. An architecture that take advantages from both(Residual and UNet) models.

AttaNet for real-time semantic segmentation.

Lightweight models for real-time semantic segmentation(include mobilenetv1-v3, shufflenetv1-v2, igcv3, efficientnet).

Top 15% ranked solution to the Carvana Image Masking Challenge on Kaggle

ENet: A Deep Neural Network Architecture for Real-Time Semantic Segmentation

Semantic segmentation on iPhone using ESPNetv2

ESPNet: Efficient Spatial Pyramid of Dilated Convolutions for Semantic Segmentation

STEAL - Learning Semantic Boundaries from Noisy Annotations (CVPR 2019)

Project to train/test convolutional neural networks to extract buildings from SpaceNet satellite imageries.

Tensorflow 2.3.0 implementation of DeepLabV3-Plus

Develop production ready deep learning code, deploy it and scale it

ESANet: Efficient RGB-D Semantic Segmentation for Indoor Scene Analysis

Source code for the MICCAI 2016 Paper "Automatic Liver and Lesion Segmentation in CT Using Cascaded Fully Convolutional NeuralNetworks and 3D Conditional Random Fields"

FC-DenseNet in PyTorch for Semantic Segmentation

LEDNet: A Lightweight Encoder-Decoder Network for Real-time Semantic Segmentation

Simple PyTorch implementations of U-Net/FullyConvNet (FCN) for image segmentation

Tensorflow Implementation of the Semantic Segmentation DeepLab_V3 CNN

Neural Style and MSG-Net

A non-sampling profiler purpose built to measure and optimize performance of ultra low latency/real time systems

Generic U-Net Tensorflow 2 implementation for semantic segmentation

Light-weight Single Person Pose Estimator

A U-Net combined with a variational auto-encoder that is able to learn conditional distributions over semantic segmentations.

3D U-Net model for volumetric semantic segmentation written in pytorch

Implemention of FCN-8 and FCN-16 with Keras and uses CRF as post processing

ESNet: An Efficient Symmetric Network for Real-time Semantic Segmentation

lightweight and efficient cnn for semantic segmentation, my blog address:

Applying UNET Model on TGS Salt Identification Challenge hosted on Kaggle

Real-Time 3D Semantic Reconstruction from 2D data

Pytorch version of Realtime Multi-Person Pose Estimation project

Simplest and fastest image and text annotation tool.

HyperSeg - Official PyTorch Implementation

An awesome semantic segmentation model that runs in real time

Human segmentation models, training/inference code, and trained weights, implemented in PyTorch

A real time Multimodal Emotion Recognition web app for text, sound and video inputs

Tensorflow 2 implementation of complete pipeline for multiclass image semantic segmentation using UNet, SegNet and FCN32 architectures on Cambridge-driving Labeled Video Database (CamVid) dataset.

Depth-wise Asymmetric Bottleneck for Real-time Semantic Segmentation (BMVC2019)

Code for Fast Neural Architecture Search of Compact Semantic Segmentation Models via Auxiliary Cells, CVPR '19

Copy-paste augmentation for segmentation and detection tasks

FOSS architecture definitions of FPGA hardware useful for doing PnR device generation.

A collection of IPython notebooks using QuTiP: examples, tutorials, development test, etc.

Smile detection with a deep convolutional neural net, with Keras.

Image augmentation for randomly rotating, shearing, translating and changing lighting conditions.

Solutions for Automate the Boring Stuff with Python

A neural conversation model

Programming with Python for Data Science Microsoft

Keras implementations of Generative Adversarial Networks. GANs, DCGAN, CGAN, CCGAN, WGAN and LSGAN models with MNIST and CIFAR-10 datasets.

A combination of Autoencoder and Robust PCA

A Wikidata Python module integrating the MediaWiki API and the Wikidata SPARQL endpoint

All Hadith With Tashkil and Without Tashkel from the Nine Books that are 62,169 Hadith.

Causal Graphical Models in Python

YouTube Like Count Predictions using Machine Learning

Unstructured Data Analysis (Graduate) @Korea University

Practical Notebooks for the Deep Learning Indaba 2018