369 Open source projects that are alternatives of or similar to Deeplabv3.pytorch

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.)

Curriculum Domain Adaptation for Semantic Segmentation of Urban Scenes, ICCV 2017

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

Cell Detection with PyTorch.

Understanding Convolution for Semantic Segmentation

Implementation details for EDANet

Deep learning applied to georeferenced datasets

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

Large-scale Point Cloud Semantic Segmentation with Superpoint Graphs

Toolkit for the generation and analysis of volume eletron microscopy based synaptic connectomes of brain tissue.

Code for our ACMMM2020 paper "Context-aware Feature Generation for Zero-shot Semantic Segmentation".

Code and dataset for the IJCAI 2021 paper "Document-level Relation Extraction as Semantic Segmentation".

This repository contains the reference implementation for our proposed Convolutional CRFs.

Corresponding implementations for the IROS 2018 paper "Modular Sensor Fusion for Semantic Segmentation"

Self-Ensembling Attention Networks: Addressing Domain Shift for Semantic Segmentation

Pytorch Implementation of "Adversarial Learning For Semi-Supervised Semantic Segmentation" for ICLR 2018 Reproducibility Challenge

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

2D and 3D UNet implementation in PyTorch.

Multi-Task (Joint Segmentation / Depth / Surface Normas) Real-Time Light-Weight RefineNet

Caffe: a fast open framework for deep learning.

ESPNet: Efficient Spatial Pyramid of Dilated Convolutions for Semantic Segmentation

[ICLR2022] official implementation of UniFormer

ESNet: An Efficient Symmetric Network for Real-time Semantic Segmentation

Semantic Image Segmentation by Scale-Adaptive Networks (TIP 2019)

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

🍀 Pytorch Implementation of RandLA-Net (https://arxiv.org/abs/1911.11236)

Simplest and fastest image and text annotation tool.

Crack Segmentation for Low-Resolution Images using Joint Learning with Super-Resolution (CSSR) was accepted to international conference on MVA2021 (oral), and selected for the Best Practical Paper Award.

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

a tensorflow version for SEC approach in the paper "seed, expand and constrain: three principles for weakly-supervised image segmentation".

DoubleU-Net for Semantic Image Segmentation in TensorFlow Keras

A High Level Python Library to empower students, developers to build applications and systems enabled with computer vision capabilities.

Pytorch for Segmentation

Semantic Labeling in VHR Images via A Self-Cascaded CNN (ISPRS JPRS, IF=6.942)

C++ based toolbox for the SUNCG dataset

Semantic segmentation for classifying road. "Fully Convolutional Networks for Semantic Segmentation (2015)" implemented using TF

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

[NeurIPS2021] Code Release of K-Net: Towards Unified Image Segmentation

FrostNet: Towards Quantization-Aware Network Architecture Search

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

Adversarial Learning for Semi-supervised Semantic Segmentation, BMVC 2018

Semantic Segmentation using Fully Convolutional Neural Network.

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

[ICCVW'21] All you need are a few pixels: semantic segmentation with PixelPick

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

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

Project to train/test convolutional neural networks to extract buildings from SpaceNet satellite imageries.

( CVPR2019 Oral ) Taking A Closer Look at Domain Shift: Category-level Adversaries for Semantics Consistent Domain Adaptation

A semantic segmentation toolbox based on PyTorch

TensorFlow implementation of ENet, trained on the Cityscapes dataset.

Exploring Cross-Image Pixel Contrast for 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)

Chainer Implementation of Fully Convolutional Networks. (Training code to reproduce the original result is available.)

ICNet and PSPNet-50 in Tensorflow for real-time semantic segmentation

Fully convolutional networks for semantic segmentation

Pytorch Implementation of "Adversarial Learning For Semi-Supervised Semantic Segmentation" for ICLR 2018 Reproducibility Challenge

[NeurIPS 2020] Code release for paper "Deep Multimodal Fusion by Channel Exchanging" (In PyTorch)

Model for document segmentation trained on the midv-500-models dataset.

[ICIP 2019] : This is the official github repository for the paper "What's There in The Dark" accepted in IEEE International Conference in Image Processing 2019 (ICIP19) , Taipei, Taiwan.