1107 Open source projects that are alternatives of or similar to hyperseg

BCDU-Net : Medical Image Segmentation

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

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

ESANet: Efficient RGB-D Semantic Segmentation for Indoor Scene Analysis

LEDNet: A Lightweight Encoder-Decoder Network for Real-time Semantic Segmentation

Segmentation models with pretrained backbones. PyTorch.

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

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

Cut and paste augmentation for object detection and instance segmentation

Real-Time 3D Semantic Reconstruction from 2D data

Binary semantic segmentation with UNet based on MobileNetV2 encoder

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

FCN for Semantic Image Segmentation achieving 68.5 mIoU on PASCAL VOC

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

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

Tensorflow 2.3.0 implementation of DeepLabV3-Plus

TFslim based semantic segmentation models, modular&extensible boutique design

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

Sandbox for training deep learning networks

Lightweight models for real-time semantic segmentation(include mobilenetv1-v3, shufflenetv1-v2, igcv3, efficientnet).

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

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

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

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

Fast (aimed to "real time") Portrait Segmentation on mobile phone

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

segmentation paper reading notes

Machine Learning Project to identify an ID Card on an image

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

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

Pytorch code for semantic segmentation using ERFNet

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

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)

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.)

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

WaSR Segmentation Network for Unmanned Surface Vehicles v0.5

An awesome semantic segmentation model that runs in real time

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

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

AttaNet for real-time semantic segmentation.

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

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

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

Semantic segmentation on iPhone using ESPNetv2

🚕 Fast and robust clustering of point clouds generated with a Velodyne sensor.

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

ENet: A Deep Neural Network Architecture for Real-Time Semantic Segmentation

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

ESPNet: Efficient Spatial Pyramid of Dilated Convolutions for Semantic Segmentation

Multi-Task (Joint Segmentation / Depth / Surface Normas) Real-Time Light-Weight RefineNet

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

Skin lesion detection from dermoscopic images using Convolutional Neural Networks

Some matlab code of Active Contour Model for image segmentation