542 Open source projects that are alternatives of or similar to Ganseg

Pytorch implementation of convolutional neural network visualization techniques

ICCV2019最新录用情况

A set of common support code for medical imaging, surgical navigation, and related purposes.

tracking medical datasets, with a focus on medical imaging

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

Pytorch code for semantic segmentation using ERFNet

快速中文分词分析word segmentation

DilatedNet in Keras for image segmentation

xmnlp：提供中文分词, 词性标注, 命名体识别，情感分析，文本纠错，文本转拼音，文本摘要，偏旁部首等功能

End-to-end, automatic face swapping pipeline

Fellow Oak DICOM for .NET, .NET Core, Universal Windows, Android, iOS, Mono and Unity

Open-source python package for the extraction of Radiomics features from 2D and 3D images and binary masks. Support: https://discourse.slicer.org/c/community/radiomics

[CVPR 2019, Oral] "Collaborative Global-Local Networks for Memory-Efficient Segmentation of Ultra-High Resolution Images" by Wuyang Chen*, Ziyu Jiang*, Zhangyang Wang, Kexin Cui, and Xiaoning Qian

Exploiting Saliency for Object Segmentation from Image Level Labels, CVPR'17

alfred-py: A deep learning utility library for **human**, more detail about the usage of lib to: https://zhuanlan.zhihu.com/p/341446046

All-in-one Toolbox for Computer Vision Research.

PointNet and PointNet++ implemented by pytorch (pure python) and on ModelNet, ShapeNet and S3DIS.

Segmentation models with pretrained backbones. Keras and TensorFlow Keras.

Hello AI World guide to deploying deep-learning inference networks and deep vision primitives with TensorRT and NVIDIA Jetson.

Generic framework for historical document processing

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.)

Holistically-Nested Edge Detection

High-performance Vision library in Python. Scale your research, not boilerplate.

CharlesCD is an open source tool that makes deployments more agile, continuous and safe, which allows development teams to perform hypothesis validations with a specific group of users, simultaneously.

SOTA medical image segmentation methods based on various challenges

[ECCV'20] Ocean: Object-aware Anchor-Free Tracking

See More, Know More: Unsupervised Video Object Segmentation with Co-Attention Siamese Networks (CVPR19)

A procedural Blender pipeline for photorealistic training image generation

Real-Time Video Segmentation on Mobile Devices with DeepLab V3+, MobileNet V2. Worked on the project in 🏝 Jeju island

FSGAN - Official PyTorch Implementation

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

[CVPR 2021] MiVOS - Mask Propagation module. Reproduced STM (and better) with training code 🌟. Semi-supervised video object segmentation evaluation.

A framework for tools built on top of Cornerstone.

Superpixels segmentation algorithms with QT and OpenCV, with a nice GUI to colorize the cells

PyTorch Implementation for Segmentation and Saliency Prediction

Self-contained Japanese Morphological Analyzer written in pure Go

[CVPR2020] CascadePSP: Toward Class-Agnostic and Very High-Resolution Segmentation via Global and Local Refinement

A robust laser stripe extraction method for structured-light vision sensing

A Python package that do stemming, tokenization, sentence breaking, segmentation, normalization, POS tagging for Arabic language.

MaskFusion: Real-Time Recognition, Tracking and Reconstruction of Multiple Moving Objects

TensorFlow implementation for the paper "Automated Deep Photo Style Transfer"

Multi-Scale Context Aggregation by Dilated Convolutions in Keras.

🚕 Fast and robust clustering of point clouds generated with a Velodyne sensor.

A series of basic algorithms that are useful for video understanding, including Single Object Tracking (SOT), Video Object Segmentation (VOS) and so on.

Co-Fusion: Real-time Segmentation, Tracking and Fusion of Multiple Objects

DIAGNOSIS OF DIABETIC RETINOPATHY FROM FUNDUS IMAGES USING SVM, KNN, and attention-based CNN models with GradCam score for interpretability,

A Convolutional Neural Network for Segmenting and Counting Cells in Microscopy Images

U-Net Brain Tumor Segmentation

Natural language processing algorithms implemented in pure Ruby with minimal dependencies

PAPC is a deep learning for point clouds platform based on pure PaddlePaddle

Pytorch version of the HyperDenseNet deep neural network for multi-modal image segmentation

Stemmer for German

Paper reading notes on Deep Learning and Machine Learning

BIRL: Benchmark on Image Registration methods with Landmark validations

Image-and-Spatial Transformer Networks

A medical imaging framework for Pytorch

⚡High Performance DICOM Medical Image Parser in Go.

Large-scale Point Cloud Semantic Segmentation with Superpoint Graphs

Semantic Human Matting