476 Open source projects that are alternatives of or similar to FDCNN

Official PyTorch implementation of our IGARSS'22 paper: A Transformer-Based Siamese Network for Change Detection

QGIS 2 plugin for applying change detection algorithms on high resolution satellite imagery

Deep networks for Earth Observation

Yet another repository for developing and benchmarking deep learning-based change detection methods.

Semantic Labeling in VHR Images via A Self-Cascaded CNN (ISPRS JPRS, IF=6.942)

ChangeOS: Building damage assessment via Deep Object-based Semantic Change Detection - (RSE 2021)

This repository contains some python code of some traditional change detection methods or provides their original websites, such as SFA, MAD, and some deep learning-based change detection methods, such as SiamCRNN, DSFA, and some FCN-based methods.

A review of change detection methods, including codes and open data sets for deep learning. From paper: change detection based on artificial intelligence: state-of-the-art and challenges.

[MultiTemp 2019] Official Tensorflow implementation for Change Detection in Multi-temporal VHR Images Based on Deep Siamese Multi-scale Convolutional Neural Networks.

Code to reproduce 'Deep Learning for Decentralized Parking Lot Occupancy Detection' paper.

Python scripts for the textbook "Image Analysis, Classification and Change Detection in Remote Sensing, Fourth Revised Edition"

Satellite image processing pipeline to classify land-cover and land-use

Extracting tidally-constrained annual shorelines and robust rates of coastal change from freely available Earth observation data at continental scale

A PyTorch-based toolkit for natural language processing

Angular Profiler for Ivy, debugging and visualization tools

biodivMapR: an R package for α- and β-diversity mapping using remotely-sensed images

Remote Sensing for Movement Ecology

Awesome Spectral Indices for the Google Earth Engine JavaScript API (Code Editor).

PyTorch implementation of the model presented in "Satellite Image Time Series Classification with Pixel-Set Encoders and Temporal Self-Attention"

Caffe Implementation of MobileNets V3

Facial landmarks detection with OpenCV, Dlib, DNN

An open-source semi-automated processing chain for urban OBIA classification.

An R package providing tools to visualize movement data (e.g. from GPS tracking) and temporal changes of environmental data (e.g. from remote sensing) by creating video animations.

MODIS Assimilation and Processing Engine

Remote sensed hyperspectral image classification with Spectral-Spatial information provided by the Extended Morphological Profiles

CNN model inference benchmarks for some popular deep learning frameworks

caffe re-implementation of R2CNN: Rotational Region CNN for Orientation Robust Scene Text Detection

This is the implementation of GGHL (A General Gaussian Heatmap Label Assignment for Arbitrary-Oriented Object Detection)

caffe-yolo-9000

Awesome Spectral Indices in Python.

trends.earth - measure land change

[TVCG] AOT-GAN for High-Resolution Image Inpainting (codebase for image inpainting)

How to write cuda kernels or c functions in pytorch, especially for former caffe users.

Identifying forged signatures using convolutional siamese networks implemented in Keras

Deep Developmental Reinforcement Learning

Deep learning tutorial

This is an collection of blog posts turned into a course format

faster-rcnn_VS2013with C++

Caffe: a Fast framework for deep learning. Custom version with built-in sparse inputs, segmentation, object detection, class weights, and custom layers

This fork of BVLC/Caffe is dedicated to supporting Cambricon deep learning processor and improving performance of this deep learning framework when running on Machine Learning Unit(MLU).

A collection of 300+ examples for using Earth Engine and the geemap Python package

Very simple API to download Landsat [1-5, 7, 8] data from Google

Algorithms for computing global land surface temperature and emissivity from NASA's Landsat satellite images with Python.

[NeurIPS2021 Poster] LoveDA: A Remote Sensing Land-Cover Dataset for Domain Adaptive Semantic Segmentation

Counting people, dog and bicycle using SSD detection and tracking.

Python REST API to detect images with adult content

DeepDetect performance sheet

Source code for 1st winner of face micro-emotion competition, FG 2017.

DeepSUM: Deep neural network for Super-resolution of Unregistered Multitemporal images (ESA PROBA-V challenge)

No description or website provided.

A Google Earth Engine based algorithm that extracts river centerlines and widths from satellite images

A TensorFlow implementation of the SiamFC tracker, use with your own camera and video, or integrate to your own project 实时物体追踪，封装API，可整合到自己的项目中

Accompanying code for "A Simple Loss Function for Improving the Convergence and Accuracy of Visual Question Answering Models" CVPR 2017 VQA workshop paper.

Pytorch and Keras Implementations of Hyperspectral Image Classification -- Traditional to Deep Models: A Survey for Future Prospects.

Tools for detecting deforestation and forest degradation

SAR2SAR: a self-supervised despeckling algorithm for SAR images - Notebook implementation usable on Google Colaboratory

1st place solution to the Satellite Remote Sensing Image Change Detection Challenge hosted by SenseTime

Change detection with a simple Python script to email you whenever a website changes.

Surveillance System Against Violence

车牌识别，基于HyperLPR实现，修改模型调用方法，使用caffe+tensorRT实现GPU加速，修改了车牌检测模型