369 Open source projects that are alternatives of or similar to Refinenet Image Segmentation

DeepLab-ResNet rebuilt in TensorFlow

Segmentation of ID Cards using Semantic Segmentation

📚 A collection of papers about Referring Image Segmentation.

Applying UNET Model on TGS Salt Identification Challenge hosted on Kaggle

CCNet: Criss-Cross Attention for Semantic Segmentation (TPAMI 2020 & ICCV 2019).

Rethinking Semantic Segmentation from a Sequence-to-Sequence Perspective with Transformers

The deep semantic segmentation network for lane segmentation.

[CVPR 2020] MTL-NAS: Task-Agnostic Neural Architecture Search towards General-Purpose Multi-Task Learning

End-to-end image segmentation kit based on PaddlePaddle.

This is an ongoing re-implementation of DeepLab_v3_plus on pytorch which is trained on VOC2012 and use ResNet101 for backbone.

A c++ trainable semantic segmentation library based on libtorch (pytorch c++). Backbone: ResNet, ResNext. Architecture: FPN, U-Net, PAN, LinkNet, PSPNet, DeepLab-V3, DeepLab-V3+ by now.

PyTorch Implementation of Fully Convolutional Networks. (Training code to reproduce the original result is available.)

A PyTorch-based library for working with 3D and 2D convolutional neural networks, with focus on semantic segmentation of volumetric biomedical image data

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

segmentation repo using pytorch

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.

FPConv: Learning Local Flattening for Point Convolution, CVPR 2020

Pytorch implementation of GCN architecture for semantic segmentation

WB color augmenter improves the accuracy of image classification and image semantic segmentation methods by emulating different WB effects (ICCV 2019) [Python & Matlab].

The ROS Package of Mask R-CNN for Object Detection and Segmentation

Generic U-Net Tensorflow 2 implementation for semantic segmentation

🤘 awesome-semantic-segmentation

Keras implementation of Real-Time Semantic Segmentation on High-Resolution Images

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

Deep Label Distribution Learning with Label Ambiguity

Learning from Synthetic Data: Addressing Domain Shift for Semantic Segmentation

A label tool aim to reduce semantic segmentation label time, rectangle and polygon annotation is supported

Implementation of RefineNet to perform real time instance segmentation in the browser using TensorFlow.js

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

PSPNet in Chainer

OpenMMLab Semantic Segmentation Toolbox and Benchmark.

Tools to Design or Visualize Architecture of Neural Network

Not All Pixels Are Equal: Difficulty-Aware Semantic Segmentation via Deep Layer Cascade

This work is based on our paper "DualConvMesh-Net: Joint Geodesic and Euclidean Convolutions on 3D Meshes", which appeared at the IEEE Conference On Computer Vision And Pattern Recognition (CVPR) 2020.

CRF-RNN PyTorch version http://crfasrnn.torr.vision

CNNs for semantic segmentation using Keras library

Deep learning applied to georeferenced datasets

Semantic segmentation on iPhone using ESPNetv2

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

A curated list of awesome data labeling tools

Self-Ensembling Attention Networks: Addressing Domain Shift for Semantic Segmentation

Minkowski Engine is an auto-diff neural network library for high-dimensional sparse tensors

Tensorflow implementation : U-net and FCN with global convolution

Code for Universal Semi-Supervised Semantic Segmentation models paper accepted in ICCV 2019

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

A framework for training segmentation models in pytorch on labelme annotations with pretrained examples of skin, cat, and pizza topping segmentation

Deep Learning sample programs using PyTorch in C++

Training & Quantization of embedded friendly Deep Learning / Machine Learning / Computer Vision models

DoubleU-Net for Semantic Image Segmentation in TensorFlow Keras

An easy-to-use wrapper for work with dense per-pixel tasks in PyTorch (including multi-task learning)

Y-Net: Joint Segmentation and Classification for Diagnosis of Breast Biopsy Images

FrostNet: Towards Quantization-Aware Network Architecture Search

An opensource lib. for vehicle vision applications (written by MATLAB), lane marking detection, road segmentation

PyTorch for Semantic Segmentation

[NeurIPS 2020] Code release for paper "Deep Multimodal Fusion by Channel Exchanging" (In PyTorch)

Collaborate & label any type of data, images, text, or documents, in an easy web interface or desktop app.

An open source framework for deep learning on satellite and aerial imagery.