491 Open source projects that are alternatives of or similar to U-Net-Satellite

Satellite Imagery Feature Detection (68 out of 419)

Pre-trained model, code, and materials from the paper "Impact of Adversarial Examples on Deep Learning Models for Biomedical Image Segmentation" (MICCAI 2019).

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

[ISPRS Journal of Photogrammetry and Remote Sensing, 2022] ResDepth: A Deep Residual Prior For 3D Reconstruction From High-resolution Satellite Images

A tool for running deep learning algorithms for semantic segmentation with satellite imagery

Semantic segmentation on aerial and satellite imagery. Extracts features such as: buildings, parking lots, roads, water, clouds

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

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

A ninja python package that unifies the Google Earth Engine ecosystem.

Urban change model designed to identify changes across 2 timestamps

Brain vessel segmentation using 3D convolutional neural networks

A basic framework for pulmonary nodule detection and characterization in CT

Prototypical Cross-Attention Networks for Multiple Object Tracking and Segmentation, NeurIPS 2021 Spotlight

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

Applying the 100 Layer Tiramisu on the Camvid Dataset

[CVPR 2021] Modular Interactive Video Object Segmentation: Interaction-to-Mask, Propagation and Difference-Aware Fusion. Semi-supervised VOS as well!

A ready-to-use curated list of Spectral Indices for Remote Sensing applications.

Dictionary Learning for image processing

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

SASHIMI segmentation is a Matlab App for semi-automatic interactive segmentation of multi-slice images.

Cylinder and Plane Extraction from Depth Cameras

Prostate MR Image Segmentation 2012

A PyTorch implementation of image steganography utilizing deep convolutional neural networks

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

OpenMMLab Model Compression Toolbox and Benchmark.

A python tool for fitting primitives 3D shapes in point clouds using RANSAC algorithm

This repository contains the code for our fast polygonal building extraction from overhead images pipeline.

No description or website provided.

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

Medical image segmentation ( Eye vessel segmentation)

Attention Gated VNet3D Model for KiTS19——2019 Kidney Tumor Segmentation Challenge

Machine Learning Project to identify an ID Card on an image

WaSR Segmentation Network for Unmanned Surface Vehicles v0.5

A Python toolbox for computer vision research and project

The Combined Anomalous Object Segmentation (CAOS) Benchmark

🌈 Automatic Color Pop effect on any image inspired by Google Photos

基于pix2pix模型的动漫图片自动上色(keras实现) 2019-2-25

Repository containing code for "U-Net Fixed-Point Quantization for Medical Image Segmentation" paper at MICCAI2019

Classification and Segmentation with Mask-RCNN of Skin Cancer using ISIC dataset

Neural Network for Dying Hair💈

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

Use segmentation networks to recognize lane lines and vehicles. Infer position and curvature of lane lines relative to self.

Point2Sequence: Learning the Shape Representation of 3D Point Clouds with an Attention-based Sequence to Sequence Network

To process a Sentinel-2 time series with MAJA cloud detection and atmospheric correction processor

地理编码技术，提供地址标准化和相似度计算。

Squeeze-unet Semantic Segmentation for embedded devices

Earth Observation Data Access Gateway

Aligns text (lyrics) with monophonic singing voice (audio). The algorithm uses structural segmentation to segment the audio into structures and then uses hidden markov models to obtain alignment within segments. The final alignment is concatenation of time stamps of lyrics within the segments for each song.

Display GeoTIFFs and soon other types of raster on your Leaflet Map

Superpixel-based Refinement for Object Proposal Generation (ICPR 2020)

Simple image augmentation library focusing on random geometric cropping

Visual SLAM system that can identify and exclude dynamic objects.

Autonomous navigation for blind people

Advanced Normalization Tools in R

Segment Deep Gray Matter on QSM images using 3D CNN

This repo is used to organize and collaborate in sprints for code projects, hackathons, STAC and metadata specs development

Examples for a blog series on Geospatial Julia using ArchGDAL

Sequence Segmentation using Joint RNN and Structured Prediction Models (ICASSP 2017)

Variants of Vision Transformer and its downstream tasks

Software package for neuron reconstruction and visualization