398 Open source projects that are alternatives of or similar to Pytorch Deeplab Resnet

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

PSPNet in Chainer

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

DeepLab-ResNet rebuilt in TensorFlow

Weakly-Supervised Semantic Segmentation Network with Deep Seeded Region Growing (CVPR 2018).

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

Segmentation models (ERFNet, ENet, DeepLab, FCN...) and Lane detection models (SCNN, SAD, PRNet, RESA, LSTR...) based on PyTorch 1.6 with mixed precision training

DeepLab-LargeFOV implemented in tensorflow

GoogLeNet implementation of Fully Convolutional Networks for Semantic Segmentation in TensorFlow

DeepLabv3 built in TensorFlow

FCN for Semantic Image Segmentation achieving 68.5 mIoU on PASCAL VOC

DeepLab-ResNet rebuilt in Pytorch

[CVPR 2021] Involution: Inverting the Inherence of Convolution for Visual Recognition, a brand new neural operator

Pytorch for Segmentation

High-level batteries-included neural network training library for Pytorch

Real time semantic slam in ROS with a hand held RGB-D camera

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

Pytorch implementation for Semantic Segmentation/Scene Parsing on MIT ADE20K dataset

Winning solution for the Kaggle TGS Salt Identification Challenge.

real-time network architecture for mobile devices and semantic segmentation

Adversarial Learning for Semi-supervised Semantic Segmentation, BMVC 2018

Pytorch code for semantic segmentation using ERFNet

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

Large-scale Point Cloud Semantic Segmentation with Superpoint Graphs

ESPNet: Efficient Spatial Pyramid of Dilated Convolutions for Semantic Segmentation

PyTorch implementation of the U-Net for image semantic segmentation with high quality images

Human segmentation models, training/inference code, and trained weights, implemented in PyTorch

STEAL - Learning Semantic Boundaries from Noisy Annotations (CVPR 2019)

PyTorch implementation for semantic segmentation (DeepLabV3+, UNet, etc.)

PyTorch implementation of DeepLabV3, trained on the Cityscapes dataset.

An out-of-box human parsing representation extractor.

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

BCDU-Net : Medical Image Segmentation

RefineNet: Multi-Path Refinement Networks for High-Resolution Semantic Segmentation

TensorFlow-based implementation of "Pyramid Scene Parsing Network".

VPGNet: Vanishing Point Guided Network for Lane and Road Marking Detection and Recognition (ICCV 2017)

Amazing Semantic Segmentation on Tensorflow && Keras (include FCN, UNet, SegNet, PSPNet, PAN, RefineNet, DeepLabV3, DeepLabV3+, DenseASPP, BiSegNet)

Gluon CV Toolkit

Segmentation models with pretrained backbones. PyTorch.

A light-weight, power efficient, and general purpose convolutional neural network

An extension of Open3D to address 3D Machine Learning tasks

CRF-RNN Keras/Tensorflow version

Real-Time 3D Semantic Reconstruction from 2D data

35% faster than ResNet: Harmonic DenseNet, A low memory traffic network

Semantic Segmentation Architectures Implemented in PyTorch

A curated list of resources focused on Machine Learning in Geospatial Data Science.

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

A semantic segmentation toolbox based on PyTorch

A list of popular deep learning models related to classification, segmentation and detection problems

Single-Stage Semantic Segmentation from Image Labels (CVPR 2020)

Pixel-wise segmentation on VOC2012 dataset using pytorch.

🚘 Easiest Fully Convolutional Networks

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

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

This is Pytorch re-implementation of our CVPR 2020 paper "Panoptic-DeepLab: A Simple, Strong, and Fast Baseline for Bottom-Up Panoptic Segmentation" (https://arxiv.org/abs/1911.10194)

Reimplementation of DeepLabV3

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

DeepLabv3, DeepLabv3+ and pretrained weights on VOC & Cityscapes

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

FC-DenseNet in PyTorch for Semantic Segmentation