820 Open source projects that are alternatives of or similar to Erfnet_pytorch

LightNet: Light-weight Networks for Semantic Image Segmentation (Cityscapes and Mapillary Vistas Dataset)

WaSR Segmentation Network for Unmanned Surface Vehicles v0.5

Large-scale Point Cloud Semantic Segmentation with Superpoint Graphs

The OCR approach is rephrased as Segmentation Transformer: https://arxiv.org/abs/1909.11065. This is an official implementation of semantic segmentation for HRNet. https://arxiv.org/abs/1908.07919

Tensorflow 2.3.0 implementation of DeepLabV3-Plus

LightNet: Light-weight Networks for Semantic Image Segmentation (Cityscapes and Mapillary Vistas Dataset)

BCDU-Net : Medical Image Segmentation

Lightweight models for real-time semantic segmentationon PyTorch (include SQNet, LinkNet, SegNet, UNet, ENet, ERFNet, EDANet, ESPNet, ESPNetv2, LEDNet, ESNet, FSSNet, CGNet, DABNet, Fast-SCNN, ContextNet, FPENet, etc.)

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

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

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

TFslim based semantic segmentation models, modular&extensible boutique design

Switchable Normalization for semantic image segmentation and scene parsing.

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

Official Pytorch Code of KiU-Net for Image Segmentation - MICCAI 2020 (Oral)

A native Tensorflow implementation of semantic segmentation according to Multi-Scale Context Aggregation by Dilated Convolutions (2016). Optionally uses the pretrained weights by the authors.

An awesome semantic segmentation model that runs in real time

Semantic Segmentation Suite in TensorFlow. Implement, train, and test new Semantic Segmentation models easily!

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

Sandbox for training deep learning networks

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

Code and dataset for the IJCAI 2021 paper "Document-level Relation Extraction as Semantic Segmentation".

Cut and paste augmentation for object detection and instance segmentation

HyperSeg - Official PyTorch Implementation

Photographic Image Synthesis with Cascaded Refinement Networks - Pytorch Implementation

[CVPR 2021] Forecasting the panoptic segmentation of future video frames

A Kitti Road Segmentation model implemented in tensorflow.

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

The Medical Detection Toolkit contains 2D + 3D implementations of prevalent object detectors such as Mask R-CNN, Retina Net, Retina U-Net, as well as a training and inference framework focused on dealing with medical images.

CNNs for semantic segmentation using Keras library

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.

Tensorflow implementation : U-net and FCN with global convolution

Semantic segmentation task for ADE20k & cityscapse dataset, based on several models.

Machine Learning Project to identify an ID Card on an image

ShanghaiTech PLUS Lab Segmentation Toolbox and Benchmark

Collection of computer vision models, ready to be included in a JVM project

mIOU=80.02 on cityscapes. My implementation of deeplabv3+ (also know as 'Encoder-Decoder with Atrous Separable Convolution for Semantic Image Segmentation' based on the dataset of cityscapes).

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

Helper package with multiple U-Net implementations in Keras as well as useful utility tools helpful when working with image semantic segmentation tasks. This library and underlying tools come from multiple projects I performed working on semantic segmentation tasks

A collection of dataset loaders

Experiments with UNET/FPN models and cityscapes/kitti datasets [Pytorch]

Add bisenetv2. My implementation of BiSeNet

Official PyTorch implementation of SegFormer

SOTA Semantic Segmentation Models in PyTorch

AttaNet for real-time semantic segmentation.

BlindAssist iOS app

Inference script and frozen inference graph with fine tuned weights for semantic segmentation on images from the KITTI dataset.

A PyTorch Implementation of Fast-SCNN: Fast Semantic Segmentation Network(PyTorch >= 1.4)

Implementation details for EDANet

Binary semantic segmentation with UNet based on MobileNetV2 encoder

FCN for Semantic Image Segmentation achieving 68.5 mIoU on PASCAL VOC

EntitySeg Toolbox: Towards Open-World and High-Quality Image Segmentation

Summary and experiment includes basic segmentation, human segmentation, human or portrait matting for both image and video.

segmentation paper reading notes

Semantic Segmentation PyTorch code for our paper: Pyramidal Convolution: Rethinking Convolutional Neural Networks for Visual Recognition (https://arxiv.org/pdf/2006.11538.pdf)

A Python Library for High-Level Semantic Segmentation Models based on TensorFlow and Keras with pretrained backbones.

IAST: Instance Adaptive Self-training for Unsupervised Domain Adaptation (ECCV 2020) https://teacher.bupt.edu.cn/zhuchuang/en/index.htm

A PyTorch implementation of semantic segmentation according to Multi-Scale Context Aggregation by Dilated Convolutions by Yu and Koltun.

Implementation of our paper "DMT: Dynamic Mutual Training for Semi-Supervised Learning"