398 Open source projects that are alternatives of or similar to Pfenet

Switchable Normalization for semantic image segmentation and scene parsing.

Slicer extensions index

PyTorch Implementation of QuickNAT and Bayesian QuickNAT, a fast brain MRI segmentation framework with segmentation Quality control using structure-wise uncertainty

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

An implementation of morphological contour interpolation

3D point cloud datasets in HDF5 format, containing uniformly sampled 2048 points per shape.

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

Caffe models (including classification, detection and segmentation) and deploy files for famouse networks

Tensorflow 2.3.0 implementation of DeepLabV3-Plus

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

Framework for medical image segmentation using deep neural networks

Pointwise Rotation-Invariant Network (AAAI 2020)

Generalized Data-free Universal Adversarial Perturbations

Patch-based 3D U-Net for brain tumor segmentation

Convolutional Neural Network for 3D meshes in PyTorch

🎨 🎨 深度学习 卷积神经网络教程 ：图像识别，目标检测，语义分割，实例分割，人脸识别，神经风格转换，GAN等🎨🎨 https://dataxujing.github.io/CNN-paper2/

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

KiTS19——2019 Kidney Tumor Segmentation Challenge

Segment Source Distribution

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.

A Kitti Road Segmentation model implemented in tensorflow.

《深度学习与计算机视觉》配套代码

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.

An Implementation of Fully Convolutional Networks in Tensorflow.

End-to-end one-class instance segmentation based on U-Net architecture for Data Science Bowl 2018 in Kaggle

Multi-platform, free open source software for visualization and image computing.

Hand detection software built with OpenCV.

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

3DUNet implemented with pytorch

Repository of my fashion-parsing project. This project is put on hold since I am doing another project now, but will debug if bugs are reported.

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

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.

PyTorch Connectomics: segmentation toolbox for EM connectomics

Unsupervised instance segmentation via active robot interaction

Deep Vessel Segmentation by Learning Graphical Connectivity

PyTorch Implementation of some RGBD Semantic Segmentation models.

TFslim based semantic segmentation models, modular&extensible boutique design

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

DeeplabV2 segmentation in Keras.

A place for the development version of the changepoint package on CRAN.

Fast image augmentation library and an easy-to-use wrapper around other libraries. Documentation: https://albumentations.ai/docs/ Paper about the library: https://www.mdpi.com/2078-2489/11/2/125

CNNs for semantic segmentation using Keras library

Evaluation framework for testing segmentation networks in Keras

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

PyTorch extensions for fast R&D prototyping and Kaggle farming

Pytorch framework for doing deep learning on point clouds.

Trainable models and NN optimization tools

DeepSeg : 4th place(top3%) solution for Retinal Edema Segmentation Challenge in 2018 AI challenger

Catalyst.Segmentation

PointCNN: Convolution On X-Transformed Points (NeurIPS 2018)

Sources for the ITKSoftwareGuide.

C++ implementation pool for computer vision R&D projects.

The U-Net Segmentation plugin for Fiji (ImageJ)

(NeurIPS2019) Category Anchor-Guided Unsupervised Domain Adaptation for Semantic Segmentation

Tensorflow Implementation of Pixel Transposed Convolutional Networks (PixelTCN and PixelTCL)

[unmaintained] An open-source convolutional neural networks platform for research in medical image analysis and image-guided therapy

Source code for an ACL2016 paper of Chinese word segmentation

3D Unet Equipped with Advanced Deep Learning Methods