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

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

PyTorch Implementation of Fully Convolutional Networks (a very simple and easy demo).

Fully convolutional networks for semantic segmentation

Uncertainty-aware Semantic Segmentation of LiDAR Point Clouds for Autonomous Driving

Semantic Segmentation on PyTorch (include FCN, PSPNet, Deeplabv3, Deeplabv3+, DANet, DenseASPP, BiSeNet, EncNet, DUNet, ICNet, ENet, OCNet, CCNet, PSANet, CGNet, ESPNet, LEDNet, DFANet)

The repository contains source code and models to use PixelNet architecture used for various pixel-level tasks. More details can be accessed at <http://www.cs.cmu.edu/~aayushb/pixelNet/>.

embedding and grouping pixels into boundary, proposal, segment and object instance.

Official Pytorch Code of KiU-Net for Image Segmentation - MICCAI 2020 (Oral)

[CVPR 2020] Semi-Supervised Semantic Segmentation with Cross-Consistency Training.

An awesome semantic segmentation model that runs in real time

train test labels for sunrgbd

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

A large-scale dataset for face parsing (AAAI2020)

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

SegAN: Semantic Segmentation with Adversarial Learning

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

4D Spatio-Temporal Semantic Segmentation on a 3D video (a sequence of 3D scans)

Using a U-Net for image segmentation, blending predicted patches smoothly is a must to please the human eye.

Implement some models of RGB/RGBD semantic segmentation in PyTorch, easy to run. Such as FCN, RefineNet, PSPNet, RDFNet, 3DGNN, PointNet, DeepLab V3, DeepLab V3 plus, DenseASPP, FastFCN

Sandbox for training deep learning networks

A native Tensorflow implementation of semantic segmentation according to Multi-Scale Context Aggregation by Dilated Convolutions (2016). Optionally uses the pretrained weights by the authors.

Weakly-Supervised Semantic Segmentation Network with Deep Seeded Region Growing (CVPR 2018).

SegSort: Segmentation by Discriminative Sorting of Segments

An Official Repo of CVPR '20 "MSeg: A Composite Dataset for Multi-Domain Segmentation"

Tensorflow implementation of "Semantic Instance Segmentation with a Discriminative Loss Function"

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

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

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

PyTorch implementation of DeepLabv3

Fully Convolutional HarDNet for Segmentation in Pytorch

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

Be Driven 🚘

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

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

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

image (semantic segmentation) instance segmentation by darknet or yolo

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

Another pytorch implementation of FCN (Fully Convolutional Networks)

Satellite Image Classification using semantic segmentation methods in deep learning

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

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

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.

C++ based toolbox for the SUNCG dataset

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

Exploring Cross-Image Pixel Contrast for Semantic Segmentation

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

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

DeepLab-LargeFOV implemented in tensorflow

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

Simplest and fastest image and text annotation tool.

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

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

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

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.