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

CCNet: Criss-Cross Attention for Semantic Segmentation (TPAMI 2020 & ICCV 2019).

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

Pytorch implementation of "Learning Lightweight Lane Detection CNNs by Self Attention Distillation (ICCV 2019)"

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

Segmentation of ID Cards using Semantic Segmentation

PyTorch implementation of DeepLabV3, trained on the Cityscapes dataset.

Semantic Scene Completion

Gluon CV Toolkit

🤘 awesome-semantic-segmentation

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

Top 15% ranked solution to the Carvana Image Masking Challenge on Kaggle

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

The deep semantic segmentation network for lane segmentation.

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

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.

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

A c++ trainable semantic segmentation library based on libtorch (pytorch c++). Backbone: ResNet, ResNext. Architecture: FPN, U-Net, PAN, LinkNet, PSPNet, DeepLab-V3, DeepLab-V3+ by now.

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

Web labeling tool for bitmap images and point clouds

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

Pytorch implementation of GCN architecture for semantic segmentation

Real-Time 3D Semantic Reconstruction from 2D data

🔥Deep Learning for 3D Point Clouds (IEEE TPAMI, 2020)

Pixel-wise segmentation on VOC2012 dataset using pytorch.

PyTorch implementation of PSPNet

DeepLabv3, DeepLabv3+ and pretrained weights on VOC & Cityscapes

Tensorflow Implementation of the Semantic Segmentation DeepLab_V3 CNN

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

segmentation repo using pytorch

Semantic Segmentation Architectures Implemented in PyTorch

DeepLabv3+ built in TensorFlow

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

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

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

An out-of-box human parsing representation extractor.

Gated-Shape CNN for Semantic Segmentation (ICCV 2019)

BCDU-Net : Medical Image Segmentation

[CVPR 2020] MTL-NAS: Task-Agnostic Neural Architecture Search towards General-Purpose Multi-Task Learning

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

Label images and video for Computer Vision applications

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

Source code for "Vocal melody extraction with semantic segmentation and audio-symbolic domain transfer learning".

Segmentation models with pretrained backbones. PyTorch.

PyTorch Implementations for DeeplabV3 and PSPNet

An extension of Open3D to address 3D Machine Learning tasks

Tensorflow 2 implementation of complete pipeline for multiclass image semantic segmentation using UNet, SegNet and FCN32 architectures on Cambridge-driving Labeled Video Database (CamVid) dataset.

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

Learning to Adapt Structured Output Space for Semantic Segmentation, CVPR 2018 (spotlight)

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

SegNet implementation & experiments in Chainer

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

Real-Time Semantic Segmentation in Mobile device

🚘 Easiest Fully Convolutional Networks

The ROS Package of Mask R-CNN for Object Detection and Segmentation

This easy-to-use library splits images and its bounding box annotations into tiles, both into specific sizes and into any arbitrary number of equal parts. It can also resize them, both by specific sizes and by a resizing/scaling factor.

常用的语义分割架构结构综述以及代码复现

Reimplementation of DeepLabV3

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

parsing scene images with understanding geometric perspective in the loop

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