504 Open source projects that are alternatives of or similar to Deeplabv3

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

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

Be Driven 🚘

4th place solution in Baidu Autonomous Driving Lane Segmentation

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

TensorFlow implementation of ENet, trained on the Cityscapes dataset.

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

An out-of-box human parsing representation extractor.

Adversarial Learning for Semi-supervised Semantic Segmentation, BMVC 2018

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

Segmentation models with pretrained backbones. PyTorch.

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

A car detection model implemented in Tensorflow.

BCDU-Net : Medical Image Segmentation

A U-Net combined with a variational auto-encoder that is able to learn conditional distributions over semantic segmentations.

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

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

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

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

无人驾驶相关论文速递

Real-Time 3D Semantic Reconstruction from 2D data

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

eCAL - enhanced Communication Abstraction Layer

Pixel-wise segmentation on VOC2012 dataset using pytorch.

Semantic Segmentation Architectures Implemented in PyTorch

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

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

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

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

[ICLR 2020] "FasterSeg: Searching for Faster Real-time Semantic Segmentation" by Wuyang Chen, Xinyu Gong, Xianming Liu, Qian Zhang, Yuan Li, Zhangyang Wang

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

Caffe implementation of our multi-scale object detection framework

[Pedestron] Generalizable Pedestrian Detection: The Elephant In The Room. On ArXiv 2020

A path planning algorithm based on Hybrid A* for trailer truck

Winning solution for the Kaggle TGS Salt Identification Challenge.

Real-time Joint Semantic Reasoning for Autonomous Driving

real-time network architecture for mobile devices and semantic segmentation

An open autonomous driving platform

Pytorch code for semantic segmentation using ERFNet

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

SO-Net: Self-Organizing Network for Point Cloud Analysis, CVPR2018

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

An extension of Open3D to address 3D Machine Learning tasks

Gluon CV Toolkit

Implementation of the CNN from End to End Learning for Self-Driving Cars on a Nvidia Jetson TX1 using Tensorflow and ROS

A semantic segmentation toolbox based on PyTorch

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

Pytorch for Segmentation

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

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)

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

A list of references on lidar point cloud processing for autonomous driving

🚘 Easiest Fully Convolutional Networks

MATLAB sample codes for mobile robot navigation

DeepLabv3 built in TensorFlow

Reimplementation of DeepLabV3

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

Code for https://arxiv.org/abs/1611.10080

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

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