434 Open source projects that are alternatives of or similar to Deeplabv3 Tensorflow

TFslim based semantic segmentation models, modular&extensible boutique design

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

Dynamic Divide-and-Conquer Adversarial Training for Robust Semantic Segmentation （ICCV2021）

Nette Extension for Slim API micro-framework using middlewares.

A light wight easy to use RESTful apis framework for education & demo purposes. stripped down framework to the fundamental components that that every one would essentially need to (learn / make a demo application).

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

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

A flexible, Ruby-powered static site generator.

"HoHoNet: 360 Indoor Holistic Understanding with Latent Horizontal Features" official pytorch implementation.

Reimplementing cool papers in PyTorch...

[AAAI'20] Segmenting Medical MRI via Recurrent Decoding Cell (Spotlight)

PSR-7 Zend ACL implementation - Permission Library [ slim, psr7, acl, permissions, zend ]

A Python module that produces image patches and annotation masks from whole slide images for deep learning in digital pathology.

DL & CV & Neural Network

Lip and hair color editor using face parsing maps.

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

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

segmentation paper reading notes

🔮Supported(Laravel/Lumen/PSR-15/Swoft/Slim/ThinkPHP) - PHP CORS (Cross-origin resource sharing) middleware.

FCN for Semantic Image Segmentation achieving 68.5 mIoU on PASCAL VOC

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

The 4th place and the fastest solution of the Lyft Perception Challenge (Image semantic segmentation with PyTorch)

proof-of-concept program that detects rail-track with semantic segmentation for autonomous train system

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

REST API with PHP Slim Framework 3 and MySQL

Weakly Supervised Segmentation by Tensorflow. Implements semantic segmentation in Simple Does It: Weakly Supervised Instance and Semantic Segmentation, by Khoreva et al. (CVPR 2017).

Deep Learning for Computer Vision (CommE 5052) in NTU

Volumetric Fusion of Multiple Semantic Labels and Masks

[NeurIPS2021 Poster] LoveDA: A Remote Sensing Land-Cover Dataset for Domain Adaptive Semantic Segmentation

DeepLab-ResNet rebuilt in Pytorch

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

Useful commands for slim application

Pixel Attentional Gating for Parsimonious Per-Pixel Labeling

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

CBAM implementation on TensorFlow Slim

WMH segmentaion with unet, dilated_unet, and with ideas from denseNet

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

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

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

HugsVision is a easy to use huggingface wrapper for state-of-the-art computer vision

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

SemanticKITTI API for visualizing dataset, processing data, and evaluating results.

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

PyTorch implementation of "Pyramid Scene Parsing Network".

Binary semantic segmentation with UNet based on MobileNetV2 encoder

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

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

JakePHP is a boilerplate created for modern web application development on Linux platforms. Simply clone, and start developing!

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

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

Lagan is a different take on a CMS, with a focus on flexibility. Built with Slim, Redbean and Twig.

Building footprint segmentation from satellite and aerial imagery

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

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

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

An opinionated starter application based on Ruby 3.0, Rails 6.1, Webpack 5, Yarn, and Bootstrap 5, deployable on Heroku

Bonnet: An Open-Source Training and Deployment Framework for Semantic Segmentation in Robotics.

FC-DenseNet in PyTorch for Semantic Segmentation

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

PiCIE: Unsupervised Semantic Segmentation using Invariance and Equivariance in clustering (CVPR2021)