397 Open source projects that are alternatives of or similar to semantic-segmentation-tensorflow

Official PyTorch implementation of SegFormer

SOTA Semantic Segmentation Models in PyTorch

[CVPR 2021] Forecasting the panoptic segmentation of future video frames

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)

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

LightNet++: Boosted Light-weighted Networks for Real-time Semantic Segmentation

FCN for Semantic Image Segmentation achieving 68.5 mIoU on PASCAL VOC

Segmentation models with pretrained backbones. PyTorch.

Pytorch code for semantic segmentation using ERFNet

OpenMMLab Semantic Segmentation Toolbox and Benchmark.

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

📸 PyTorch implementation of MobileNetV3 for real-time semantic segmentation, with pretrained weights & state-of-the-art performance

Implementation details for EDANet

Implementation of Our ECCV2020-work: Improving Semantic Segmentation via Decoupled Body and Edge Supervision

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

ShanghaiTech PLUS Lab Segmentation Toolbox and Benchmark

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

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

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

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

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

PSPNet in Chainer

Fully Convolutional HarDNet for Segmentation in Pytorch

Code for Fast Neural Architecture Search of Compact Semantic Segmentation Models via Auxiliary Cells, CVPR '19

Pytorch to train ENet of Cityscapes datasets and CamVid datasets nicely

Mask R-CNN, FPN, LinkNet, PSPNet and UNet with multiple backbone architectures support readily available

Experiments with UNET/FPN models and cityscapes/kitti datasets [Pytorch]

AttaNet for real-time semantic segmentation.

Understanding Convolution for Semantic Segmentation

IAST: Instance Adaptive Self-training for Unsupervised Domain Adaptation (ECCV 2020) https://teacher.bupt.edu.cn/zhuchuang/en/index.htm

CGNet: A Light-weight Context Guided Network for Semantic Segmentation [IEEE Transactions on Image Processing 2020]

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

A PyTorch implementation of semantic segmentation according to Multi-Scale Context Aggregation by Dilated Convolutions by Yu and Koltun.

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

Exploring Cross-Image Pixel Contrast for Semantic Segmentation

Implemetation of Pyramid Scene Parsing Network in Pytorch

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

PyTorch implementation of "Pyramid Scene Parsing Network".

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

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

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

Unofficial tensorflow implementation of real-time scene image segmentation model "BiSeNet V2: Bilateral Network with Guided Aggregation for Real-time Semantic Segmentation"

Tensorflow 2.3.0 implementation of DeepLabV3-Plus

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

Depth-wise Asymmetric Bottleneck for Real-time Semantic Segmentation (BMVC2019)

Lightweight models for real-time semantic segmentationon PyTorch (include SQNet, LinkNet, SegNet, UNet, ENet, ERFNet, EDANet, ESPNet, ESPNetv2, LEDNet, ESNet, FSSNet, CGNet, DABNet, Fast-SCNN, ContextNet, FPENet, etc.)

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

IJCAI2020 & IJCV 2020 🌇 Unsupervised Scene Adaptation with Memory Regularization in vivo

Deep Extreme Cut http://www.vision.ee.ethz.ch/~cvlsegmentation/dextr . a tool to do automatically object segmentation from extreme points.

Photographic Image Synthesis with Cascaded Refinement Networks - Pytorch Implementation

A PyTorch Implementation of Fast-SCNN: Fast Semantic Segmentation Network(PyTorch >= 1.4)

🎨 Semantic segmentation models, datasets and losses implemented in PyTorch.

HyperSeg - Official PyTorch Implementation

Machine Learning Project to identify an ID Card on an image

Easily train or fine-tune SOTA computer vision models with one open source training library

OpenCVのGrabCut()を利用したセマンティックセグメンテーション向けアノテーションツール(Annotation tool using GrabCut() of OpenCV. It can be used to create datasets for semantic segmentation.)

基于语义分割的矿区无人机影像地物提取实验

ImageNet pre-trained SharpPeleeNet can be used in real-time Semantic Segmentation/Objects Detection

Semi-Supervised Semantic Segmentation via Adaptive Equalization Learning, NeurIPS 2021 (Spotlight)

Cut and paste augmentation for object detection and instance segmentation