582 Open source projects that are alternatives of or similar to Segan

Keras implementation of the multi-channel cascaded architecture introduced in the paper "Brain Tumor Segmentation with Deep Neural Networks"

Resurces for MRI images processing and deep learning in 3D

PyTorch for Semantic Segmentation

Develop dose prediction models for knowledge-based planning in radiotherapy

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

1st place solution to the Satellite Remote Sensing Image Change Detection Challenge hosted by SenseTime

Keras implementation of Real-Time Semantic Segmentation on High-Resolution Images

Pixel Attentional Gating for Parsimonious Per-Pixel Labeling

Using modified BiSeNet for face parsing in PyTorch

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

Pytorch code for semantic segmentation using ERFNet

Pytorch implementation of UNet for converting aerial satellite images into google maps kinda images.

A PyTorch impl of EfficientDet faithful to the original Google impl w/ ported weights

Scaleable input gradient regularization

Tensorflow implementation of the V-Net architecture for medical imaging segmentation.

Collection of different Unet Variant suchas VggUnet, ResUnet, DenseUnet, Unet. AttUnet, MobileNetUnet, NestedUNet, R2AttUNet, R2UNet, SEUnet, scSEUnet, Unet_Xception_ResNetBlock

Framework for medical image segmentation using deep neural networks

segmentation paper reading notes

FPConv: Learning Local Flattening for Point Convolution, CVPR 2020

HistoSegNet: Semantic Segmentation of Histological Tissue Type in Whole Slide Images (ICCV 2019)

Web labeling tool for bitmap images and point clouds

[CVPR21] Implementation of our work "Three Ways to Improve Semantic Segmentation with Self-Supervised Depth Estimation"

Starviewer, a cross-platform open source medical imaging software

Efficient Multi-Scale 3D Convolutional Neural Network for Segmentation of 3D Medical Scans

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

🤘 awesome-semantic-segmentation

Segmentation models with pretrained backbones. PyTorch.

This is a fully convolutional neural net exercise to detect houses from aerial images.

SegSort: Segmentation by Discriminative Sorting of Segments

An End-to-End Machine Learning Library to Optimize AUC (AUROC, AUPRC).

Must-read Papers on Textual Adversarial Attack and Defense

[AAAI'20] Segmenting Medical MRI via Recurrent Decoding Cell (Spotlight)

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

Weakly Supervised Segmentation by Tensorflow. Implements semantic segmentation in Simple Does It: Weakly Supervised Instance and Semantic Segmentation, by Khoreva et al. (CVPR 2017).

PyTorch implementation of DeepLab v2 on COCO-Stuff / PASCAL VOC

Improved Wasserstein GAN (WGAN-GP) application on medical (MRI) images

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

A PyTorch implementation of semantic segmentation according to Multi-Scale Context Aggregation by Dilated Convolutions by Yu and Koltun.

Image Polygonal Annotation with Python (polygon, rectangle, circle, line, point and image-level flag annotation).

Semantically segment the road in the given image.

Deep Learning Toolkit for Medical Image Analysis

Pixie is a GUI annotation tool which provides the bounding box, polygon, free drawing and semantic segmentation object labelling

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

Medical image viewer using DWV (DICOM Web Viewer) and jQuery Mobile.

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

MONAI Label is an intelligent open source image labeling and learning tool.

Gated-Shape CNN for Semantic Segmentation (ICCV 2019)

Geometry meets semantics for semi-supervised monocular depth estimation - ACCV 2018

Semi-supervised Semantic Segmentation with Directional Context-aware Consistency (CVPR 2021)

Medical image preprocessing and augmentation toolkit for deep learning

Semantic image segmentation network with pyramid atrous convolution and boundary-aware loss for Tensorflow.

Generative Probabilistic Novelty Detection with Adversarial Autoencoders

An easy-to-use wrapper for work with dense per-pixel tasks in PyTorch (including multi-task learning)

An extension of Open3D to address 3D Machine Learning tasks

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

PyTorch Implementations for DeeplabV3 and PSPNet

image (semantic segmentation) instance segmentation by darknet or yolo

Another pytorch implementation of FCN (Fully Convolutional Networks)

DICOM Viewer in Nextcloud