369 Open source projects that are alternatives of or similar to Unet Pytorch

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

Semantic-TSDF for Self-driving Static Scene Reconstruction

Be Driven 🚘

[IROS 2021] Implementation of "Similarity-Aware Fusion Network for 3D Semantic Segmentation"

Real-Time Semantic Segmentation in Mobile device

Multi-scale Interaction for Real-time LiDAR Data Segmentation on an Embedded Platform (RA-L)

Y-Net: Joint Segmentation and Classification for Diagnosis of Breast Biopsy Images

Unofficial code base for UNETR: Transformers for 3D Medical Image Segmentation

Light-Weight RefineNet for Real-Time Semantic Segmentation

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

PyTorch*-based Neural Network Compression Framework for enhanced OpenVINO™ inference

Cell Detection with PyTorch.

Powerful and efficient Computer Vision Annotation Tool (CVAT)

Implementation details for EDANet

Learning from Synthetic Data: Addressing Domain Shift for Semantic Segmentation

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

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.)

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

Code for <Domain Adaptation for Semantic Segmentation via Class-Balanced Self-Training> in ECCV18

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

Understanding Convolution for Semantic Segmentation

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

ResUNet, a semantic segmentation model inspired by the deep residual learning and UNet. An architecture that take advantages from both(Residual and UNet) models.

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

Large-scale Point Cloud Semantic Segmentation with Superpoint Graphs

2D and 3D UNet implementation in PyTorch.

ROS package for the Perception (Sensor Processing, Detection, Tracking and Evaluation) of the KITTI Vision Benchmark Suite

Caffe: a fast open framework for deep learning.

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

[ICLR2022] official implementation of UniFormer

Not All Pixels Are Equal: Difficulty-Aware Semantic Segmentation via Deep Layer Cascade

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

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

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

image (semantic segmentation) instance segmentation by darknet or yolo

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.

ESPNet: Efficient Spatial Pyramid of Dilated Convolutions for Semantic Segmentation

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

Deep learning applied to georeferenced datasets

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

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

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

Unsupervised Intra-domain Adaptation for Semantic Segmentation through Self-Supervision (CVPR 2020 Oral)

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

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

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

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

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

Pytorch for Segmentation

Semantic Segmentation using Fully Convolutional Neural Network.

Another pytorch implementation of FCN (Fully Convolutional Networks)

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

Associatively Segmenting Instances and Semantics in Point Clouds, CVPR 2019

Rank 1st in the leaderboard of SemanticKITTI semantic segmentation (both single-scan and multi-scan) (Nov. 2020) (CVPR2021 Oral)

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

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

Direct Graphical Models (DGM) C++ library, a cross-platform Conditional Random Fields library, which is optimized for parallel computing and includes modules for feature extraction, classification and visualization.

RefineNet-101 VOC in PyTorch

GoogLeNet implementation of Fully Convolutional Networks for Semantic Segmentation in TensorFlow

Reimplementing cool papers in PyTorch...