1101 Open source projects that are alternatives of or similar to Hrnet Semantic Segmentation

SOTA Semantic Segmentation Models in PyTorch

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.)

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

Tensorflow 2.3.0 implementation of DeepLabV3-Plus

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

Photographic Image Synthesis with Cascaded Refinement Networks - Pytorch Implementation

Pytorch code for semantic segmentation using ERFNet

Official PyTorch implementation of SegFormer

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

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

Summary of Transformer applications for computer vision tasks.

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

Binary semantic segmentation with UNet based on MobileNetV2 encoder

FCN for Semantic Image Segmentation achieving 68.5 mIoU on PASCAL VOC

Unofficial tensorflow implementation of real-time scene image segmentation model "BiSeNet V2: Bilateral Network with Guided Aggregation for Real-time Semantic Segmentation"

[CVPR 2022--Oral] Restormer: Efficient Transformer for High-Resolution Image Restoration. SOTA for motion deblurring, image deraining, denoising (Gaussian/real data), and defocus deblurring.

BCDU-Net : Medical Image Segmentation

This repository contains the source code of our work on designing efficient CNNs for computer vision

This is Pytorch re-implementation of our CVPR 2020 paper "Panoptic-DeepLab: A Simple, Strong, and Fast Baseline for Bottom-Up Panoptic Segmentation" (https://arxiv.org/abs/1911.10194)

Large-scale Point Cloud Semantic Segmentation with Superpoint Graphs

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

Understanding Convolution for Semantic Segmentation

Add bisenetv2. My implementation of BiSeNet

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

Switchable Normalization for semantic image segmentation and scene parsing.

Fully Convolutional HarDNet for Segmentation in Pytorch

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

segmentation paper reading notes

This is an official implementation of our NeurIPS 2021 paper "HRFormer: High-Resolution Transformer for Dense Prediction".

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

[ICCV2021] Official PyTorch implementation of Segmenter: Transformer for Semantic Segmentation

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

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

TensorFlow-based implementation of "Pyramid Scene Parsing Network".

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

Code for https://arxiv.org/abs/1611.10080

Segmentation models with pretrained backbones. PyTorch.

[ICLR 2020] "FasterSeg: Searching for Faster Real-time Semantic Segmentation" by Wuyang Chen, Xinyu Gong, Xianming Liu, Qian Zhang, Yuan Li, Zhangyang Wang

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

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

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.

CNNs for semantic segmentation using Keras library

ShanghaiTech PLUS Lab Segmentation Toolbox and Benchmark

TFslim based semantic segmentation models, modular&extensible boutique design

Segmentation models (ERFNet, ENet, DeepLab, FCN...) and Lane detection models (SCNN, SAD, PRNet, RESA, LSTR...) based on PyTorch 1.6 with mixed precision training

Exploring Cross-Image Pixel Contrast for Semantic Segmentation

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.

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

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

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.

Tensorflow implementation : U-net and FCN with global convolution

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

OpenMMLab Semantic Segmentation Toolbox and Benchmark.

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

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

Machine Learning Project to identify an ID Card on an image

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

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