758 Open source projects that are alternatives of or similar to pyconvsegnet

PyTorch implementation of "Pyramid Scene Parsing Network".

Pytorch implementation for Semantic Segmentation/Scene Parsing on MIT ADE20K dataset

Segmentation models with pretrained backbones. 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.

segmentation paper reading notes

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

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

This is an official implementation for "Swin Transformer: Hierarchical Vision Transformer using Shifted Windows".

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

Pytorch Implementation of Semantic-Aware Scene Recognition Paper

AttaNet for real-time semantic segmentation.

SOTA Semantic Segmentation Models in PyTorch

FCN for Semantic Image Segmentation achieving 68.5 mIoU on PASCAL VOC

Indoor segmentation for robot navigating, which is based on deeplab model in TensorFlow.

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.

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

Pytorch code for semantic segmentation using ERFNet

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

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.

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

An awesome semantic segmentation model that runs in real time

This is an official implementation for "Swin Transformer: Hierarchical Vision Transformer using Shifted Windows" on Semantic Segmentation.

HyperSeg - Official PyTorch Implementation

WaSR Segmentation Network for Unmanned Surface Vehicles v0.5

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

Official PyTorch implementation of SegFormer

Cut and paste augmentation for object detection and instance segmentation

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

Machine Learning Project to identify an ID Card on an image

Binary semantic segmentation with UNet based on MobileNetV2 encoder

Tensorflow implementation : U-net and FCN with global convolution

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.)

Large-scale Point Cloud Semantic Segmentation with Superpoint Graphs

Tensorflow 2.3.0 implementation of DeepLabV3-Plus

BCDU-Net : Medical Image Segmentation

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

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

CNNs for semantic segmentation using Keras library

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

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

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

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

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

Sandbox for training deep learning networks

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

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

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

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

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

Rectangle detection using the Hough transform

Digital Pathology AI

No description or website provided.

This is the source code of the 1st place solution for segmentation task in MICCAI 2020 TN-SCUI challenge.

HistoSegNet: Semantic Segmentation of Histological Tissue Type in Whole Slide Images (ICCV 2019)

1st place solution to the Satellite Remote Sensing Image Change Detection Challenge hosted by SenseTime

[CVPR21] Implementation of our work "Three Ways to Improve Semantic Segmentation with Self-Supervised Depth Estimation"

Segmentation of 3D shapes in a common anatomical space