544 Open source projects that are alternatives of or similar to IAST-ECCV2020

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

a tensorflow implement of refinenet ,RefineNet: Multi-Path Refinement Networks for High-Resolution Semantic Segmentation

🔥TorchSat 🌏 is an open-source deep learning framework for satellite imagery analysis based on PyTorch.

stylegan-nada.github.io/

Lip and hair color editor using face parsing maps.

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

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

GTA V Online AHK-Macros

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

OpenMMLab Semantic Segmentation Toolbox and Benchmark.

4th place solution in Baidu Autonomous Driving Lane Segmentation

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

Deep Learning sample programs using PyTorch in C++

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

An android app to track GTA Online car sell limits.

PyTorch Implementations for DeeplabV3 and PSPNet

A label tool aim to reduce semantic segmentation label time, rectangle and polygon annotation is supported

Semantic Segmentation Models in Pytorch

A minimal pytorch package implementing a gradient reversal layer.

Direct Graphical Models (DGM) C++ library, a cross-platform Conditional Random Fields library, which is optimized for parallel computing and includes modules for feature extraction, classification and visualization.

Semantic segmentation models, datasets and losses implemented in PyTorch.

Building footprint segmentation from satellite and aerial imagery

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

A plugin for Grand Theft Auto V that generates a labeled LiDAR point cloud from the game environment.

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

Tensorflow implementation : U-net and FCN with global convolution

Pixel Attentional Gating for Parsimonious Per-Pixel Labeling

[ICLR2022] official implementation of UniFormer

Pytorch implementation of UNet for converting aerial satellite images into google maps kinda images.

Y-Net: Joint Segmentation and Classification for Diagnosis of Breast Biopsy Images

Collection of different Unet Variant suchas VggUnet, ResUnet, DenseUnet, Unet. AttUnet, MobileNetUnet, NestedUNet, R2AttUNet, R2UNet, SEUnet, scSEUnet, Unet_Xception_ResNetBlock

segmentation paper reading notes

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

🔥RandLA-Net in Tensorflow (CVPR 2020, Oral)

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

A High Level Python Library to empower students, developers to build applications and systems enabled with computer vision capabilities.

Binary semantic segmentation with UNet based on MobileNetV2 encoder

ResUNet, a semantic segmentation model inspired by the deep residual learning and UNet. An architecture that take advantages from both(Residual and UNet) models.

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

TensorFlow implementation of ENet, trained on the Cityscapes dataset.

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

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

Meshing Point Clouds with Predicted Intrinsic-Extrinsic Ratio Guidance (ECCV2020)

InstantDL: An easy and convenient deep learning pipeline for image segmentation and classification

Deep learning applied to georeferenced datasets

Real-Time Semantic Segmentation in Mobile device

[CVPR2021] Domain Consensus Clustering for Universal Domain Adaptation

Projects I completed as a part of Great Learning's PGP - Artificial Intelligence and Machine Learning

An awesome semantic segmentation model that runs in real time

常用的语义分割架构结构综述以及代码复现

Semantically segment the road in the given image.

Light-Weight RefineNet for Real-Time Semantic Segmentation

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

Label Studio is a multi-type data labeling and annotation tool with standardized output format

Powerful and efficient Computer Vision Annotation Tool (CVAT)

Semantic Segmentation using Fully Convolutional Neural Network.

Uncertainty-aware Semantic Segmentation of LiDAR Point Clouds for Autonomous Driving

DeepLab resnet v2 model in pytorch

CRF-RNN Keras/Tensorflow version

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