430 Open source projects that are alternatives of or similar to semantic_segmentation

Semantic Segmentation Architectures Implemented in PyTorch

Simple PyTorch implementations of U-Net/FullyConvNet (FCN) for image segmentation

Tensorflow implementation : U-net and FCN with global convolution

🚘 Easiest Fully Convolutional Networks

A PyTorch implementation for V-Net: Fully Convolutional Neural Networks for Volumetric Medical Image Segmentation

FCN, U-Net models implementation in TensorFlow for fashion clothing parsing

Semantic Image Segmentation using a Fully Convolutional Neural Network in TensorFlow

Implemention of FCN-8 and FCN-16 with Keras and uses CRF as post processing

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

This is a fully convolutional neural net exercise to detect houses from aerial images.

A Single Shot MultiBox Detector in TensorFlow

PyTorch for Semantic Segmentation

Keras implementation of Real-Time Semantic Segmentation on High-Resolution Images

Semantic segmentation for classifying road. "Fully Convolutional Networks for Semantic Segmentation (2015)" implemented using TF

Deep and Machine Learning for Microscopy

A flexible Python front-end inference SDK based on TensorRT

Detecting near-duplicate videos by aggregating features from intermediate CNN layers

Source code (train/test) accompanying the paper entitled "Veritatem Dies Aperit - Temporally Consistent Depth Prediction Enabled by a Multi-Task Geometric and Semantic Scene Understanding Approach" in CVPR 2019 (https://arxiv.org/abs/1903.10764).

U-NET Semantic Segmentation model for Mobile

Semi-Supervised Semantic Segmentation via Adaptive Equalization Learning, NeurIPS 2021 (Spotlight)

This is a repository for a semantic segmentation inference API using the OpenVINO toolkit

Photographic Image Synthesis with Cascaded Refinement Networks - Pytorch Implementation

Example of Deconvnet in PyTorch for VGG16

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

HyperSeg - Official PyTorch Implementation

U-Time: A Fully Convolutional Network for Time Series Segmentation

Squeeze-unet Semantic Segmentation for embedded devices

deeplabv3plus (Google's new algorithm for semantic segmentation) in keras：Encoder-Decoder with Atrous Separable Convolution for Semantic Image Segmentation

Semi-supervised Semantic Segmentation with Directional Context-aware Consistency (CVPR 2021)

Keras BiseNet architecture implementation

Code for our CVPR 2018 paper, "On the Robustness of Semantic Segmentation Models to Adversarial Attacks"

Automated object remover Inpainter is a project that combines Semantic segmentation and EdgeConnect architectures with minor changes in order to remove specified object/s from list of 20 objects from all the input photos

Data labeling react app that is backend agnostic and can be embedded into your applications — distributed as an NPM package

AttaNet for real-time semantic segmentation.

Universal Weakly Supervised Segmentation by Pixel-to-Segment Contrastive Learning

🎨 Semantic segmentation models, datasets and losses implemented in PyTorch.

Semantic image segmentation network with pyramid atrous convolution and boundary-aware loss for Tensorflow.

OpenCVのGrabCut()を利用したセマンティックセグメンテーション向けアノテーションツール(Annotation tool using GrabCut() of OpenCV. It can be used to create datasets for semantic segmentation.)

NCI-ISBI 2013 Challenge - Automated Segmentation of Prostate Structures

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

This is a PyTorch implementation of the the Paper by Simo-Sera et.al. on Cleaning Rough Sketches using Fully Convolutional Neural Networks.

Pixie is a GUI annotation tool which provides the bounding box, polygon, free drawing and semantic segmentation object labelling

Geometry meets semantics for semi-supervised monocular depth estimation - ACCV 2018

Summary of RGBT SOD and SS.

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

ImageNet pre-trained SharpPeleeNet can be used in real-time Semantic Segmentation/Objects Detection

Cut and paste augmentation for object detection and instance segmentation

Easily train or fine-tune SOTA computer vision models with one open source training library

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

Official PyTorch implementation of SegFormer

A customized implementation of the paper "StereoNet: guided hierarchical refinement for real-time edge-aware depth prediction"

Actionness Estimation Using Hybrid Fully Convolutional Networks

In this project I have used an convolution neural network with perceptual loss to convert low res image into high res image.

SOTA Semantic Segmentation Models in PyTorch

基于语义分割的矿区无人机影像地物提取实验

Segmentation of prostate from MRI scans

This is the example implementation of UNet model for semantic segmentations

A Pytorch implementation of DeepCrack and RoadNet projects.