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

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

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

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.

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

RefineNet-101 VOC in PyTorch

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

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

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/>.

train test labels for sunrgbd

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

SegAN: Semantic Segmentation with Adversarial Learning

PyTorch for Semantic Segmentation

Sandbox for training deep learning networks

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

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

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

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

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 awesome semantic segmentation model that runs in real time

遥感图像的语义分割，基于深度学习，在Tensorflow框架下，利用TF.Keras，运行环境TF2.0+

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

An opensource lib. for vehicle vision applications (written by MATLAB), lane marking detection, road segmentation

A large-scale dataset for face parsing (AAAI2020)

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

OpenMMLab Semantic Segmentation Toolbox and Benchmark.

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.

image (semantic segmentation) instance segmentation by darknet or yolo

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

Another pytorch implementation of FCN (Fully Convolutional Networks)

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

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

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

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

Simplest and fastest image and text annotation tool.

C++ based toolbox for the SUNCG dataset

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

Exploring Cross-Image Pixel Contrast for Semantic Segmentation

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

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

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

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

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

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

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

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

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

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

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

a tensorflow implement of refinenet ,RefineNet: Multi-Path Refinement Networks for High-Resolution Semantic Segmentation

Fully Convolutional HarDNet for Segmentation in Pytorch

lightweight and efficient cnn for semantic segmentation, my blog address:

Satellite Image Classification using semantic segmentation methods in deep learning

Be Driven 🚘

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