Top 449 segmentation open source projects

Flood-Filling Networks for instance segmentation in 3d volumes.

TensorFlow implementation of ENet

A PyTorch implementation of PointRend: Image Segmentation as Rendering

A curated list of dedicated resources and applications

Camouflaged Object Detection, CVPR 2020 (Oral & Reported by the New Scientist Magazine)

This repo contains the code for our paper "A novel focal Tversky loss function and improved Attention U-Net for lesion segmentation" accepted at IEEE ISBI 2019.

👉 CARLA resources such as tutorial, blog, code and etc https://github.com/carla-simulator/carla

a generalist algorithm for cellular segmentation

Kaggle airbus ship detection challenge 21st solution

Intensity-based_Lidar_Camera_Calibration

Web application for image labeling and segmentation

Tunable U-Net implementation in PyTorch

A sentence segmenter that actually works!

Fast (aimed to "real time") Portrait Segmentation on mobile phone

Perception toolkit for sim2real training and validation

Unofficial implementation of "TTNet: Real-time temporal and spatial video analysis of table tennis" (CVPR 2020)

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

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

Manage your machine learning experiments with trixi - modular, reproducible, high fashion. An experiment infrastructure optimized for PyTorch, but flexible enough to work for your framework and your tastes.

Python version of Sudachi, a Japanese tokenizer.

Code for the paper "PortraitNet: Real-time portrait segmentation network for mobile device" @ CAD&Graphics2019

Semantic Segmentation Suite in TensorFlow. Implement, train, and test new Semantic Segmentation models easily!

Learning Unsupervised Video Object Segmentation through Visual Attention (CVPR19, PAMI20)

PyTorch re-implementation of DeepMask

( ECCV2018 ) Macro-Micro Adversarial Network for Human Parsing

Sparse and structured neural attention mechanisms

Helper package with multiple U-Net implementations in Keras as well as useful utility tools helpful when working with image semantic segmentation tasks. This library and underlying tools come from multiple projects I performed working on semantic segmentation tasks

Deep Learning for Seismic Imaging and Interpretation

PyTorch implementation of multi-task learning architectures, incl. MTI-Net (ECCV2020).

Modification of convolutional neural net "UNET" for image segmentation in Keras framework

A framework for Medical Image Segmentation with Convolutional Neural Networks and Deep Learning

PyTorch Implementation of 2D and 3D 'squeeze and excitation' blocks for Fully Convolutional Neural Networks

A collection of dataset loaders

3D Graph Neural Networks for RGBD Semantic Segmentation

📷 Reactive python package for managing, creating and visualizing different deep-learning image annotation formats

Papers and Datasets about Point Cloud.

implement some algorithms of 6d pose estimation

Vocal Remover using Deep Neural Networks

Sandbox for training deep learning networks

nucleus/cell and histopathology image classification,detection,segmentation

3D Unet biomedical segmentation model powered by tensorpack with fast io speed

A concise code for training and evaluating Unet using tensorflow+keras

API for the dataset proposed in "Pose2Seg: Detection Free Human Instance Segmentation" @ CVPR2019.

keras implementation of unet plus plus

Keras-tensorflow implementation of PersonLab (https://arxiv.org/abs/1803.08225)

PointNet++: Deep Hierarchical Feature Learning on Point Sets in a Metric Space

hair segmentation in mobile device

Pytorch Code for "Medical Transformer: Gated Axial-Attention for Medical Image Segmentation"

Code for a winning model (3 out of 419) in a Dstl Satellite Imagery Feature Detection challenge

Open solution to the Data Science Bowl 2018

Kaggle Segmentation Challenge

PointASNL: Robust Point Clouds Processing using Nonlocal Neural Networks with Adaptive Sampling （CVPR 2020）

The OCR approach is rephrased as Segmentation Transformer: https://arxiv.org/abs/1909.11065. This is an official implementation of semantic segmentation for HRNet. https://arxiv.org/abs/1908.07919

An awesome semantic segmentation model that runs in real time

A PyTorch implementation of Dynamic Graph CNN for Learning on Point Clouds (DGCNN)

Get started with Semantic Segmentation based on Keras, including FCN32/FCN8/SegNet/U-Net

LiTS - Liver Tumor Segmentation Challenge

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.

Implementation of active contour loss function

3D Unet for Isointense Infant Brain Image Segmentation