1076 Open source projects that are alternatives of or similar to Setr Pytorch

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

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

An awesome semantic segmentation model that runs in real time

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

Tensorflow implementation : U-net and FCN with global convolution

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

SOTA Semantic Segmentation Models in PyTorch

Official PyTorch implementation of SegFormer

BCDU-Net : Medical Image Segmentation

Summary of Transformer applications for computer vision tasks.

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

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.)

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.

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

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

[MICCAI2022] This is an official PyTorch implementation for A Robust Volumetric Transformer for Accurate 3D Tumor Segmentation

WaSR Segmentation Network for Unmanned Surface Vehicles v0.5

Pytorch Code for "Medical Transformer: Gated Axial-Attention for Medical Image Segmentation"

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

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

Pytorch code for semantic segmentation using ERFNet

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

TFslim based semantic segmentation models, modular&extensible boutique design

Tensorflow 2.3.0 implementation of DeepLabV3-Plus

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

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

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.

OpenMMLab Semantic Segmentation Toolbox and Benchmark.

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

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

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

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.

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

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

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

Sandbox for training deep learning networks

HyperSeg - Official PyTorch Implementation

Cut and paste augmentation for object detection and instance segmentation

Machine Learning Project to identify an ID Card on an image

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

segmentation paper reading notes

FCN for Semantic Image Segmentation achieving 68.5 mIoU on PASCAL VOC

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

Binary semantic segmentation with UNet based on MobileNetV2 encoder

Segmentation models with pretrained backbones. PyTorch.

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

Large-scale Point Cloud Semantic Segmentation with Superpoint Graphs

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

CNNs for semantic segmentation using Keras library

FrostNet: Towards Quantization-Aware Network Architecture Search

📚 A collection of papers about Referring Image Segmentation.

PyTorch Implementation of some RGBD Semantic Segmentation models.

Caffe models (including classification, detection and segmentation) and deploy files for famouse networks

FormBuilder + class-transformer + class-validator = dynamic form group builder for Angular10+

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

Tensorflow implementation of the V-Net architecture for medical imaging segmentation.

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

transformer for ASR-systerm (via tensorflow2.0)