All Projects → Efficient Segmentation Networks → Similar Projects or Alternatives

1258 Open source projects that are alternatives of or similar to Efficient Segmentation Networks

Segmentation models.pytorch
Segmentation models with pretrained backbones. PyTorch.
Stars: ✭ 4,584 (+691.71%)
Lightnet
LightNet: Light-weight Networks for Semantic Image Segmentation (Cityscapes and Mapillary Vistas Dataset)
Stars: ✭ 698 (+20.55%)
Deeplabv3 Plus
Tensorflow 2.3.0 implementation of DeepLabV3-Plus
Stars: ✭ 32 (-94.47%)
Multiclass Semantic Segmentation Camvid
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.
Stars: ✭ 67 (-88.43%)
Entity
EntitySeg Toolbox: Towards Open-World and High-Quality Image Segmentation
Stars: ✭ 313 (-45.94%)
Erfnet pytorch
Pytorch code for semantic segmentation using ERFNet
Stars: ✭ 304 (-47.5%)
LightNet
LightNet: Light-weight Networks for Semantic Image Segmentation (Cityscapes and Mapillary Vistas Dataset)
Stars: ✭ 710 (+22.63%)
FCN-Segmentation-TensorFlow
FCN for Semantic Image Segmentation achieving 68.5 mIoU on PASCAL VOC
Stars: ✭ 34 (-94.13%)
TensorFlow-Advanced-Segmentation-Models
A Python Library for High-Level Semantic Segmentation Models based on TensorFlow and Keras with pretrained backbones.
Stars: ✭ 64 (-88.95%)
Hrnet Semantic Segmentation
The OCR approach is rephrased as Segmentation Transformer: https://arxiv.org/abs/1909.11065. This is an official implementation of semantic segmentation for HRNet. https://arxiv.org/abs/1908.07919
Stars: ✭ 2,369 (+309.15%)
Keras Unet
Helper package with multiple U-Net implementations in Keras as well as useful utility tools helpful when working with image semantic segmentation tasks. This library and underlying tools come from multiple projects I performed working on semantic segmentation tasks
Stars: ✭ 196 (-66.15%)
Hyperdensenet
This repository contains the code of HyperDenseNet, a hyper-densely connected CNN to segment medical images in multi-modal image scenarios.
Stars: ✭ 124 (-78.58%)
CAP augmentation
Cut and paste augmentation for object detection and instance segmentation
Stars: ✭ 93 (-83.94%)
Brain-Tumor-Segmentation-using-Topological-Loss
A Tensorflow Implementation of Brain Tumor Segmentation using Topological Loss
Stars: ✭ 28 (-95.16%)
Mutual labels:  segmentation, image-segmentation
AttaNet
AttaNet for real-time semantic segmentation.
Stars: ✭ 37 (-93.61%)
Superpoint graph
Large-scale Point Cloud Semantic Segmentation with Superpoint Graphs
Stars: ✭ 533 (-7.94%)
PhotographicImageSynthesiswithCascadedRefinementNetworks-Pytorch
Photographic Image Synthesis with Cascaded Refinement Networks - Pytorch Implementation
Stars: ✭ 63 (-89.12%)
wasr network
WaSR Segmentation Network for Unmanned Surface Vehicles v0.5
Stars: ✭ 32 (-94.47%)
Crfasrnn keras
CRF-RNN Keras/Tensorflow version
Stars: ✭ 576 (-0.52%)
ML IDCard Segmentation-TF-Keras
Machine Learning Project to identify an ID Card on an image
Stars: ✭ 38 (-93.44%)
semantic-segmentation-tensorflow
Semantic segmentation task for ADE20k & cityscapse dataset, based on several models.
Stars: ✭ 84 (-85.49%)
Dilation-Pytorch-Semantic-Segmentation
A PyTorch implementation of semantic segmentation according to Multi-Scale Context Aggregation by Dilated Convolutions by Yu and Koltun.
Stars: ✭ 32 (-94.47%)
mobilenet segmentation
Binary semantic segmentation with UNet based on MobileNetV2 encoder
Stars: ✭ 18 (-96.89%)
Fast-SCNN pytorch
A PyTorch Implementation of Fast-SCNN: Fast Semantic Segmentation Network(PyTorch >= 1.4)
Stars: ✭ 30 (-94.82%)
InstantDL
InstantDL: An easy and convenient deep learning pipeline for image segmentation and classification
Stars: ✭ 33 (-94.3%)
segmentation-paper-reading-notes
segmentation paper reading notes
Stars: ✭ 39 (-93.26%)
Tusimple Duc
Understanding Convolution for Semantic Segmentation
Stars: ✭ 567 (-2.07%)
SegFormer
Official PyTorch implementation of SegFormer
Stars: ✭ 1,264 (+118.31%)
semantic-segmentation
SOTA Semantic Segmentation Models in PyTorch
Stars: ✭ 464 (-19.86%)
hyperseg
HyperSeg - Official PyTorch Implementation
Stars: ✭ 174 (-69.95%)
blindassist-ios
BlindAssist iOS app
Stars: ✭ 34 (-94.13%)
Mutual labels:  segmentation, cityscapes
SUIM
Semantic Segmentation of Underwater Imagery: Dataset and Benchmark. #IROS2020
Stars: ✭ 53 (-90.85%)
Semantic-Segmentation-BiSeNet
Keras BiseNet architecture implementation
Stars: ✭ 55 (-90.5%)
Brain-MRI-Segmentation
Smart India Hackathon 2019 project given by the Department of Atomic Energy
Stars: ✭ 29 (-94.99%)
Mutual labels:  segmentation, image-segmentation
EDANet
Implementation details for EDANet
Stars: ✭ 34 (-94.13%)
panoptic-forecasting
[CVPR 2021] Forecasting the panoptic segmentation of future video frames
Stars: ✭ 44 (-92.4%)
VNet
Prostate MR Image Segmentation 2012
Stars: ✭ 54 (-90.67%)
Mutual labels:  segmentation, image-segmentation
plusseg
ShanghaiTech PLUS Lab Segmentation Toolbox and Benchmark
Stars: ✭ 21 (-96.37%)
BMW-IntelOpenVINO-Segmentation-Inference-API
This is a repository for a semantic segmentation inference API using the OpenVINO toolkit
Stars: ✭ 31 (-94.65%)
IAST-ECCV2020
IAST: Instance Adaptive Self-training for Unsupervised Domain Adaptation (ECCV 2020) https://teacher.bupt.edu.cn/zhuchuang/en/index.htm
Stars: ✭ 84 (-85.49%)
DST-CBC
Implementation of our paper "DMT: Dynamic Mutual Training for Semi-Supervised Learning"
Stars: ✭ 98 (-83.07%)
pyconvsegnet
Semantic Segmentation PyTorch code for our paper: Pyramidal Convolution: Rethinking Convolutional Neural Networks for Visual Recognition (https://arxiv.org/pdf/2006.11538.pdf)
Stars: ✭ 32 (-94.47%)
DLCV2018SPRING
Deep Learning for Computer Vision (CommE 5052) in NTU
Stars: ✭ 38 (-93.44%)
coursera-ai-for-medicine-specialization
Programming assignments, labs and quizzes from all courses in the Coursera AI for Medicine Specialization offered by deeplearning.ai
Stars: ✭ 80 (-86.18%)
Mutual labels:  segmentation, image-segmentation
HyperDenseNet pytorch
Pytorch version of the HyperDenseNet deep neural network for multi-modal image segmentation
Stars: ✭ 58 (-89.98%)
Mutual labels:  segmentation, image-segmentation
Geospatial Machine Learning
A curated list of resources focused on Machine Learning in Geospatial Data Science.
Stars: ✭ 289 (-50.09%)
Cascaded Fcn
Source code for the MICCAI 2016 Paper "Automatic Liver and Lesion Segmentation in CT Using Cascaded Fully Convolutional NeuralNetworks and 3D Conditional Random Fields"
Stars: ✭ 296 (-48.88%)
segmentation training pipeline
Research Pipeline for image masking/segmentation in Keras
Stars: ✭ 54 (-90.67%)
Mutual labels:  segmentation, image-segmentation
Pytorch Unet
Simple PyTorch implementations of U-Net/FullyConvNet (FCN) for image segmentation
Stars: ✭ 470 (-18.83%)
Segmentation models
Segmentation models with pretrained backbones. Keras and TensorFlow Keras.
Stars: ✭ 3,575 (+517.44%)
Mutual labels:  segmentation, image-segmentation
Pspnet Tensorflow
TensorFlow-based implementation of "Pyramid Scene Parsing Network".
Stars: ✭ 313 (-45.94%)
Neural Pipeline
Neural networks training pipeline based on PyTorch
Stars: ✭ 315 (-45.6%)
Edgenets
This repository contains the source code of our work on designing efficient CNNs for computer vision
Stars: ✭ 331 (-42.83%)
Pywick
High-level batteries-included neural network training library for Pytorch
Stars: ✭ 320 (-44.73%)
Pixellib
Visit PixelLib's official documentation https://pixellib.readthedocs.io/en/latest/
Stars: ✭ 327 (-43.52%)
Panoptic Deeplab
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)
Stars: ✭ 355 (-38.69%)
Bcdu Net
BCDU-Net : Medical Image Segmentation
Stars: ✭ 314 (-45.77%)
Ademxapp
Code for https://arxiv.org/abs/1611.10080
Stars: ✭ 333 (-42.49%)
Refinenet
RefineNet: Multi-Path Refinement Networks for High-Resolution Semantic Segmentation
Stars: ✭ 543 (-6.22%)
1-60 of 1258 similar projects