1468 Open source projects that are alternatives of or similar to Segmentation

This is an official implementation of our NeurIPS 2021 paper "HRFormer: High-Resolution Transformer for Dense Prediction".

segmentation paper reading notes

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.)

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

Kaggle 2018 @ Human Protein Atlas Image Classification

4th Place Solution for The Hunt for Prohibited Content Competition on Kaggle (http://www.kaggle.com/c/avito-prohibited-content)

ShellNet: Efficient Point Cloud Convolutional Neural Networks using Concentric Shells Statistics

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

7th Place Solution for Jigsaw Unintended Bias in Toxicity Classification on Kaggle

A pytorch-based deep learning framework for multi-modal 2D/3D medical image segmentation

https://www.kaggle.com/c/humpback-whale-identification

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

MiraPy: A Python package for Deep Learning in Astronomy

A Python toolbox for computer vision research and project

Kaggle | 1st place solution for Freesound Audio Tagging 2019

🚘 Easiest Fully Convolutional Networks

🔥TorchSat 🌏 is an open-source deep learning framework for satellite imagery analysis based on PyTorch.

Semantic Segmentation Architectures Implemented in PyTorch

Segmentation models with pretrained backbones. Keras and TensorFlow Keras.

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

🏁 API client for Kaggle

PointNet: Deep Learning on Point Sets for 3D Classification and Segmentation

Pytorch code for semantic segmentation using ERFNet

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

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

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

Amazon Forest Computer Vision: Satellite Image tagging code using PyTorch / Keras with lots of PyTorch tricks

unet for image segmentation

Semantically segment the road in the given image.

A community run, 5-day PyTorch Deep Learning Bootcamp

📢 Ready to learn or review your knowledge!

A PyTorch implementation for V-Net: Fully Convolutional Neural Networks for Volumetric Medical Image Segmentation

Image Test Time Augmentation with PyTorch!

Goal of this repo is to provide the solutions of all Data Science Competitions(Kaggle, Data Hack, Machine Hack, Driven Data etc...).

All About the GANs(Generative Adversarial Networks) - Summarized lists for GAN

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

PyTorch extensions for fast R&D prototyping and Kaggle farming

Solution to Kaggle - Web Traffic Time Series Forecasting

常用的语义分割架构结构综述以及代码复现

3rd Place Solution for HomeDepot Product Search Results Relevance Competition on Kaggle.

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

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

Implementation of different kinds of Unet Models for Image Segmentation - Unet , RCNN-Unet, Attention Unet, RCNN-Attention Unet, Nested Unet

FrostNet: Towards Quantization-Aware Network Architecture Search

A Kitti Road Segmentation model implemented in tensorflow.

Tensorflow tutorial from basic to hard, 莫烦Python 中文AI教学

Evaluation framework for testing segmentation networks in Keras

Kaggle-like machine learning competition platform

CNNs for semantic segmentation using Keras library

Segmentation models (ERFNet, ENet, DeepLab, FCN...) and Lane detection models (SCNN, SAD, PRNet, RESA, LSTR...) based on PyTorch 1.6 with mixed precision training

Deep learning applied to georeferenced datasets

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

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

A c++ trainable semantic segmentation library based on libtorch (pytorch c++). Backbone: ResNet, ResNext. Architecture: FPN, U-Net, PAN, LinkNet, PSPNet, DeepLab-V3, DeepLab-V3+ by now.

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

Tensorflow 2.3.0 implementation of DeepLabV3-Plus

GoogLeNet implementation of Fully Convolutional Networks for Semantic Segmentation in TensorFlow

Generalized Data-free Universal Adversarial Perturbations

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