7329 Open source projects that are alternatives of or similar to Cascaded Fcn

Official Pytorch Code of KiU-Net for Image Segmentation - MICCAI 2020 (Oral)

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.

Tensorflow 2.3.0 implementation of DeepLabV3-Plus

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

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

A collection of computer vision projects for Acute Lymphoblastic Leukemia classification/early detection.

Simple PyTorch implementations of U-Net/FullyConvNet (FCN) for image segmentation

Tensorflow implementation : U-net and FCN with global convolution

VPGNet: Vanishing Point Guided Network for Lane and Road Marking Detection and Recognition (ICCV 2017)

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

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.

CRF-RNN PyTorch version http://crfasrnn.torr.vision

DLTK Model Zoo

An awesome semantic segmentation model that runs in real time

a generalist algorithm for cellular segmentation

A generic Mixture Density Networks (MDN) implementation for distribution and uncertainty estimation by using Keras (TensorFlow)

A PyTorch implementation of PointRend: Image Segmentation as Rendering

Semantic Image Segmentation by Scale-Adaptive Networks (TIP 2019)

ResUNet++, CRF, and TTA for segmentation of medical images (IEEE JBIHI)

Implemetation of Pyramid Scene Parsing Network in Pytorch

Human segmentation models, training/inference code, and trained weights, implemented in PyTorch

This is the example implementation of UNet model for semantic segmentations

Segmentation of prostate from MRI scans

Cut and paste augmentation for object detection and instance segmentation

U-Time: A Fully Convolutional Network for Time Series Segmentation

Semantic Segmentation Architectures Implemented in PyTorch

Kaggle airbus ship detection challenge 21st solution

An implementation of "mixup: Beyond Empirical Risk Minimization"

Code for the book Deep Learning with PyTorch by Eli Stevens, Luca Antiga, and Thomas Viehmann.

FCN, U-Net models implementation in TensorFlow for fashion clothing parsing

A framework for developing neural network models for 3D image processing.

PyTorch Implementation of Small Lesion Segmentation in Brain MRIs with Subpixel Embedding (ORAL, MICCAIW 2021)

Food detection and recommendation with deep learning

The code for preparing the training data for crowd counting / segmentation algorithm.

Skin lesion detection from dermoscopic images using Convolutional Neural Networks

Brainy is a virtual MRI analyzer. Just upload the MRI scan file and get 3 different classes of tumors detected and segmented. In Beta.

Kidney Tumor Segmentation Challenge 2019

Medical Image Segmentation Toolkit based on PaddlePaddle - 基于paddle的医学影像分割框架

HyperSeg - Official PyTorch Implementation

Develop production ready deep learning code, deploy it and scale it

Smart India Hackathon 2019 project given by the Department of Atomic Energy

Code and dataset for the IJCAI 2021 paper "Document-level Relation Extraction as Semantic Segmentation".

Robust Chest CT Image Segmentation of COVID-19 Lung Infection based on limited data

WaSR Segmentation Network for Unmanned Surface Vehicles v0.5

A PyTorch Implementation of Fast-SCNN: Fast Semantic Segmentation Network(PyTorch >= 1.4)

Machine Learning Project to identify an ID Card on an image

Deep and Machine Learning for Microscopy

Medical image segmentation ( Eye vessel segmentation)

Semantically segment the road in the given image.

Prostate MR Image Segmentation 2012

MONAI Label is an intelligent open source image labeling and learning tool.

EntitySeg Toolbox: Towards Open-World and High-Quality Image Segmentation

Binary semantic segmentation with UNet based on MobileNetV2 encoder

This is a fully convolutional neural net exercise to detect houses from aerial images.

Data Augmentation by Backtranslation (DAB) ヽ( •_-)ᕗ

segmentation paper reading notes

Code for our CVPR 2018 paper, "On the Robustness of Semantic Segmentation Models to Adversarial Attacks"

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

FCN for Semantic Image Segmentation achieving 68.5 mIoU on PASCAL VOC