725 Open source projects that are alternatives of or similar to Ccnet

TFslim based semantic segmentation models, modular&extensible boutique design

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

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

LightNet: Light-weight Networks for Semantic Image Segmentation (Cityscapes and Mapillary Vistas Dataset)

Summary and experiment includes basic segmentation, human segmentation, human or portrait matting for both image and video.

Source code for the MICCAI 2016 Paper "Automatic Liver and Lesion Segmentation in CT Using Cascaded Fully Convolutional NeuralNetworks and 3D Conditional Random Fields"

Tensorflow implementation : U-net and FCN with global convolution

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

A PyTorch Implementation of Fast-SCNN: Fast Semantic Segmentation Network(PyTorch >= 1.4)

FCN for Semantic Image Segmentation achieving 68.5 mIoU on PASCAL VOC

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

Tensorflow 2.3.0 implementation of DeepLabV3-Plus

WaSR Segmentation Network for Unmanned Surface Vehicles v0.5

Segmentation models with pretrained backbones. PyTorch.

EntitySeg Toolbox: Towards Open-World and High-Quality Image Segmentation

Rethinking Semantic Segmentation from a Sequence-to-Sequence Perspective with Transformers

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.

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

Cut and paste augmentation for object detection and instance segmentation

HyperSeg - Official PyTorch Implementation

Binary semantic segmentation with UNet based on MobileNetV2 encoder

Machine Learning Project to identify an ID Card on an image

LightNet: Light-weight Networks for Semantic Image Segmentation (Cityscapes and Mapillary Vistas Dataset)

Pytorch code for semantic segmentation using ERFNet

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

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.)

A Python Library for High-Level Semantic Segmentation Models based on TensorFlow and Keras with pretrained backbones.

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

An awesome semantic segmentation model that runs in real time

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

segmentation paper reading notes

BCDU-Net : Medical Image Segmentation

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

CNNs for semantic segmentation using Keras library

Tensorflow 2 implementation of complete pipeline for multiclass image semantic segmentation using UNet, SegNet and FCN32 architectures on Cambridge-driving Labeled Video Database (CamVid) dataset.

The Medical Detection Toolkit contains 2D + 3D implementations of prevalent object detectors such as Mask R-CNN, Retina Net, Retina U-Net, as well as a training and inference framework focused on dealing with medical images.

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

Sandbox for training deep learning networks

Semantic Segmentation PyTorch code for our paper: Pyramidal Convolution: Rethinking Convolutional Neural Networks for Visual Recognition (https://arxiv.org/pdf/2006.11538.pdf)

Large-scale Point Cloud Semantic Segmentation with Superpoint Graphs

Training & Quantization of embedded friendly Deep Learning / Machine Learning / Computer Vision models

tensorflow version of unet

unet for rgb images semantic segmentation

Semantic Scene Completion

PyTorch extensions for fast R&D prototyping and Kaggle farming

Deep Label Distribution Learning with Label Ambiguity

Source code for "Vocal melody extraction with semantic segmentation and audio-symbolic domain transfer learning".

A Kitti Road Segmentation model implemented in tensorflow.

A new approach for the real time 3D semantic segmentation based on feature abstract and deep learning method

💨Making communication📞easier and faster🚅for all 👦 + 👧 + 👴 + 👶 + 🐮 + 🐦 + 🐱

Top 15% ranked solution to the Carvana Image Masking Challenge on Kaggle

Generalized Data-free Universal Adversarial Perturbations

PyTorch implementation of PSPNet

Trainable models and NN optimization tools

Using modified BiSeNet for face parsing in PyTorch

An implementation of morphological contour interpolation

Data Annotation, Data Labeling, Annotation Tooling, Training Data for Machine Learning

Catalyst.Segmentation

Segmentation of Lungs from Chest X-Rays using Fully Connected Networks