398 Open source projects that are alternatives of or similar to Awesome Cell Detection Segmentation

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

Crop/Weed Field Image Dataset

Segmentation realize Deeperlab only segmentation part

Fully automatic brain tumour segmentation using Deep 3-D convolutional neural networks

hair segmentation in mobile device

PFENet: Prior Guided Feature Enrichment Network for Few-shot Segmentation (TPAMI).

The code for paper "CANet: Class-Agnostic Segmentation Networks with Iterative Refinement and Attentive Few-Shot Learning"

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

LiTS - Liver Tumor Segmentation Challenge

Unsupervised Word Segmentation for Neural Machine Translation and Text Generation

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

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

3DUNet implemented with pytorch

TensorFlow Implementation for Computing a Semantically Segmented Bird's Eye View (BEV) Image Given the Images of Multiple Vehicle-Mounted Cameras.

PyTorch Implementation of some RGBD Semantic Segmentation models.

Implementation of active contour loss function

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

Source Code for KNN Matting, CVPR 2012 / TPAMI 2013. MATLAB code ready to run. Simple and robust implementation under 40 lines.

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

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

Hand detection software built with OpenCV.

Awesome GAN for Medical Imaging

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

PyTorch Implementation of Stacked U-Nets (SUNets)

Unsupervised instance segmentation via active robot interaction

Paper and implementation of UNet-related model.

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

deep learning for image processing including classification and object-detection etc.

CNNs for semantic segmentation using Keras library

This repository contains the code of HyperDenseNet, a hyper-densely connected CNN to segment medical images in multi-modal image scenarios.

Pytorch framework for doing deep learning on point clouds.

Grid-GCN for Fast and Scalable Point Cloud Learning

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

Fast 3D point cloud segmentation using supervoxels with geometry and color for 3D scene understanding

The U-Net Segmentation plugin for Fiji (ImageJ)

Kaggle Segmentation Challenge

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

Multi-object image datasets with ground-truth segmentation masks and generative factors.

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

A Python 3 library making time series data mining tasks, utilizing matrix profile algorithms, accessible to everyone.

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.

cGAN-based Multi Organ Nuclei Segmentation

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.

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

PyTorch Connectomics: segmentation toolbox for EM connectomics

Collections of model quantization algorithms

Deep Vessel Segmentation by Learning Graphical Connectivity

Collection of papers, datasets, code and other resources for object tracking and detection using deep learning

TFslim based semantic segmentation models, modular&extensible boutique design

Video Object Segmentation

DeeplabV2 segmentation in Keras.

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

Implementation of MaskTrack method which is the baseline of several state-of-the-art video object segmentation methods in Pytorch

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

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

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

An awesome semantic segmentation model that runs in real time

PaddlePaddle End-to-End Development Toolkit（『飞桨』深度学习全流程开发工具）

Test Time Augmentation (TTA) wrapper for computer vision tasks: segmentation, classification, super-resolution, ... etc.