369 Open source projects that are alternatives of or similar to Refinenet Image Segmentation

Implementation of "Automatic Portrait Segmentation" and "Deep Automatic Portrait Matting" with Chainer.

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PyTorch implementation of DeepLabv3

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.

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Lip and hair color editor using face parsing maps.

Code for our ACMMM2020 paper "Context-aware Feature Generation for Zero-shot Semantic Segmentation".

OpenMMLab Semantic Segmentation Toolbox and Benchmark.

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A Comprehensive Analysis of Weakly-Supervised Semantic Segmentation in Different Image Domains (IJCV submission)

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

ROS package for the Perception (Sensor Processing, Detection, Tracking and Evaluation) of the KITTI Vision Benchmark Suite

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Satellite Image Classification using semantic segmentation methods in deep learning

Volumetric Fusion of Multiple Semantic Labels and Masks

PyTorch-based modular, configuration-driven framework for knowledge distillation. 🏆18 methods including SOTA are implemented so far. 🎁 Trained models, training logs and configurations are available for ensuring the reproducibiliy.

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An (re-)implementation of DeepLab v2 (ResNet-101) in TensorFlow for semantic image segmentation on the PASCAL VOC 2012 dataset.

A pointnet++ fork, with focus on semantic segmentation of differents datasets

Simplest and fastest image and text annotation tool.

Not All Pixels Are Equal: Difficulty-Aware Semantic Segmentation via Deep Layer Cascade

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

Computer Vision and Machine Learning related projects of Udacity's Self-driving Car Nanodegree Program

Tensorflow implementation of "Semantic Instance Segmentation with a Discriminative Loss Function"

Tensorflow Implementation of the Semantic Segmentation DeepLab_V3 CNN

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

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

Fully Convolutional HarDNet for Segmentation in Pytorch

This work is based on our paper "DualConvMesh-Net: Joint Geodesic and Euclidean Convolutions on 3D Meshes", which appeared at the IEEE Conference On Computer Vision And Pattern Recognition (CVPR) 2020.

Be Driven 🚘

(AAAI2020)Grapy-ML: Graph Pyramid Mutual Learning for Cross-dataset Human Parsing

Code for <Domain Adaptation for Semantic Segmentation via Class-Balanced Self-Training> in ECCV18

Gated-Shape CNN for Semantic Segmentation (ICCV 2019)

image (semantic segmentation) instance segmentation by darknet or yolo

Building footprint segmentation from satellite and aerial imagery

Another pytorch implementation of FCN (Fully Convolutional Networks)

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

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

Deep Learning for Computer Vision (CommE 5052) in NTU

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

PyTorch Implementations for DeeplabV3 and PSPNet

C++ based toolbox for the SUNCG dataset

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

Exploring Cross-Image Pixel Contrast for Semantic Segmentation

CNNs for semantic segmentation using Keras library

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

PyTorch for Semantic Segmentation

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

GoogLeNet implementation of Fully Convolutional Networks for Semantic Segmentation in TensorFlow

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

Implementing polyp segmentation using the U-Net and CVC-612 dataset.