6603 Open source projects that are alternatives of or similar to Keras Segmentation Deeplab V3.1

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

Tensorflow 2.3.0 implementation of DeepLabV3-Plus

BCDU-Net : Medical Image Segmentation

Human segmentation models, training/inference code, and trained weights, implemented in PyTorch

unet for image segmentation

Large-scale Point Cloud Semantic Segmentation with Superpoint Graphs

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.)

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.

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

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

SipMask: Spatial Information Preservation for Fast Image and Video Instance Segmentation (ECCV2020)

天池医疗AI大赛[第一季]：肺部结节智能诊断 UNet/VGG/Inception/ResNet/DenseNet

An out-of-box human parsing representation extractor.

STEAL - Learning Semantic Boundaries from Noisy Annotations (CVPR 2019)

A U-Net combined with a variational auto-encoder that is able to learn conditional distributions over semantic segmentations.

Tensorflow Implementation of the Semantic Segmentation DeepLab_V3 CNN

[CVPR2020] f-BRS: Rethinking Backpropagating Refinement for Interactive Segmentation https://arxiv.org/abs/2001.10331

Pytorch Implementation of retinal OCT Layer Segmentation (with trained models)

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

CNNs for semantic segmentation using Keras library

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

Tutorials, assignments, and competitions for MIT Deep Learning related courses.

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

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

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

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

FC-DenseNet in PyTorch for Semantic Segmentation

segmentation paper reading notes

Pytorch code for semantic segmentation using ERFNet

Segmentation models with pretrained backbones. PyTorch.

FCN for Semantic Image Segmentation achieving 68.5 mIoU on PASCAL VOC

Dstl Satellite Imagery Feature Detection

FSGAN - Official PyTorch Implementation

TensorFlow-based implementation of "ICNet for Real-Time Semantic Segmentation on High-Resolution Images".

Simple PyTorch implementations of U-Net/FullyConvNet (FCN) for image segmentation

VPGNet: Vanishing Point Guided Network for Lane and Road Marking Detection and Recognition (ICCV 2017)

3D U-Net model for volumetric semantic segmentation written in pytorch

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

Binary semantic segmentation with UNet based on MobileNetV2 encoder

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

CCNet: Criss-Cross Attention for Semantic Segmentation (TPAMI 2020 & ICCV 2019).

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

A generative network for animal vocalizations. For dimensionality reduction, sequencing, clustering, corpus-building, and generating novel 'stimulus spaces'. All with notebook examples using freely available datasets.

Applying UNET Model on TGS Salt Identification Challenge hosted on Kaggle

Tensorflow implementation of Fully Convolutional Networks for Semantic Segmentation (http://fcn.berkeleyvision.org)

PyTorch Connectomics: segmentation toolbox for EM connectomics

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

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

Tensorflow implementation : U-net and FCN with global convolution

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

Generic U-Net Tensorflow 2 implementation for semantic segmentation

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

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

TFslim based semantic segmentation models, modular&extensible boutique design

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

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

Semi-Supervised Video Object Segmentation (VOS) with Tensorflow. Includes implementation of *MaskRNN: Instance Level Video Object Segmentation (NIPS 2017)* as part of the NIPS Paper Implementation Challenge.