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

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

OpenMMLab Semantic Segmentation Toolbox and Benchmark.

Implemention of FCN-8 and FCN-16 with Keras and uses CRF as post processing

Deep Learning sample programs using PyTorch in C++

PyTorch implementation of DeepLabv3

A label tool aim to reduce semantic segmentation label time, rectangle and polygon annotation is supported

Fully Convolutional HarDNet for Segmentation in Pytorch

CRF-RNN PyTorch version http://crfasrnn.torr.vision

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

Tensorflow implementation : U-net and FCN with global convolution

Be Driven 🚘

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

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

Learning from Synthetic Data: Addressing Domain Shift for Semantic Segmentation

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

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

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

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

image (semantic segmentation) instance segmentation by darknet or yolo

Deep learning applied to georeferenced datasets

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

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

Another pytorch implementation of FCN (Fully Convolutional Networks)

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

Satellite Image Classification using semantic segmentation methods in deep learning

DoubleU-Net for Semantic Image Segmentation in TensorFlow Keras

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

FrostNet: Towards Quantization-Aware Network Architecture Search

Develop production ready deep learning code, deploy it and scale it

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

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

PyTorch-based modular, configuration-driven framework for knowledge distillation. 🏆18 methods including SOTA are implemented so far. 🎁 Trained models, training logs and configurations are available for ensuring the reproducibiliy.

Implementation of RefineNet to perform real time instance segmentation in the browser using TensorFlow.js

C++ based toolbox for the SUNCG dataset

PSPNet in Chainer

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

Tools to Design or Visualize Architecture of Neural Network

Exploring Cross-Image Pixel Contrast for Semantic Segmentation

This work is based on our paper "DualConvMesh-Net: Joint Geodesic and Euclidean Convolutions on 3D Meshes", which appeared at the IEEE Conference On Computer Vision And Pattern Recognition (CVPR) 2020.

An (re-)implementation of DeepLab v2 (ResNet-101) in TensorFlow for semantic image segmentation on the PASCAL VOC 2012 dataset.

CNNs for semantic segmentation using Keras library

Collection of computer vision models, ready to be included in a JVM project

Semantic segmentation on iPhone using ESPNetv2

DeepLab-LargeFOV implemented in tensorflow

A curated list of awesome data labeling tools

Hierarchical perception library in Python for pose estimation, object detection, instance segmentation, keypoint estimation, face recognition, etc.

Minkowski Engine is an auto-diff neural network library for high-dimensional sparse tensors

Simplest and fastest image and text annotation tool.

Code for Universal Semi-Supervised Semantic Segmentation models paper accepted in ICCV 2019

Pytorch Implementation -- All about Structure: Adapting Structural Information across Domains for Boosting Semantic Segmentation, CVPR 2019

A framework for training segmentation models in pytorch on labelme annotations with pretrained examples of skin, cat, and pizza topping segmentation

Semantic Segmentation Suite in TensorFlow. Implement, train, and test new Semantic Segmentation models easily!

A simpler way of reading and augmenting image segmentation data into TensorFlow

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