369 Open source projects that are alternatives of or similar to Cagnet Zero Shot Semantic Segmentation

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

train test labels for sunrgbd

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

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

PyTorch for 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.

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

Fully convolutional networks for semantic segmentation

RefineNet-101 VOC in PyTorch

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

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

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

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

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

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

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.

An awesome semantic segmentation model that runs in real time

SegSort: Segmentation by Discriminative Sorting of Segments

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

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+

A large-scale dataset for face parsing (AAAI2020)

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

Sandbox for training deep learning networks

FPConv: Learning Local Flattening for Point Convolution, CVPR 2020

SegAN: Semantic Segmentation with Adversarial Learning

Another pytorch implementation of FCN (Fully Convolutional Networks)

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

Simplest and fastest image and text annotation tool.

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

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

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

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

C++ based toolbox for the SUNCG dataset

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

Exploring Cross-Image Pixel Contrast for Semantic Segmentation

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

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

Satellite Image Classification using semantic segmentation methods in deep learning

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

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

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!

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

Fully Convolutional HarDNet for Segmentation in Pytorch

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

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.

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

Be Driven 🚘

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

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

OpenMMLab Semantic Segmentation Toolbox and Benchmark.

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

Deep Learning sample programs using PyTorch in C++

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

image (semantic segmentation) instance segmentation by darknet or yolo

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

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

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/>.

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

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