daifeng2016,github

albumentations

Fast image augmentation library and easy to use wrapper around other libraries. Documentation: https://albumentations.ai/docs/ Paper about library: https://www.mdpi.com/2078-2489/11/2/125

attention_network_with_keras

An example attention network with simple dataset.

avalanche

Avalanche: an End-to-End Library for Continual Learning based on PyTorch.

awesome-contrastive-self-supervised-learning

A comprehensive list of awesome contrastive self-supervised learning papers.

awesome-gee

A curated list of Google Earth Engine resources

awesome-incremental-learning

Awesome Incremental Learning

awesome-remote-sensing-change-detection

List of datasets, codes, and contests related to remote sensing change detection

awesome-remote-sensing-foundation-models

awesome-self-supervised-learning

A curated list of awesome self-supervised methods

awesome-semi-supervised-semantic-segmentation

A summary of recent semi-supervised semantic segmentation methods

bicubic_pytorch

A PyTorch implementation of widely-used bicubic interpolation, which is fully compatible with MATLAB.

binary-segmentation-evaluation-tool

This repo is developed for evaluating binary image segmentation results. Measures, such as MAE, Precision, Recall, F-measure, PR curves and F-measure curves are included.

building-area-extraction

A partial Implementation of paper by, Chu He, Bo Shi, "The algorithm of building area extraction based on boundary prior and conditional random field for SAR image"

change-detection-dataset-for-high-resolution-satellite-imagery

This repository is for releasing a dataset for high-resolution satellite imagery

changedetectionproject

Change Detection project - the more experimental build version. Trying out Active Learning in with deep CNNs for Change detection on remote sensing data.

changestar

Change is Everywhere: Single-Temporal Supervised Object Change Detection in Remote Sensing Imagery (ICCV 2021) https://arxiv.org/abs/2108.07002

convcrf

This repository contains the reference implementation for our proposed Convolutional CRFs.

cvpr-2021-papers

dali

A GPU-accelerated library containing highly optimized building blocks and an execution engine for data processing to accelerate deep learning training and inference applications.

deepglobe-road-extraction-challenge

D-LinkNet: LinkNet with Pretrained Encoder and Dilated Convolution for High Resolution Satellite Imagery Road Extraction

deephomography

Content-Aware Unsupervised Deep Homography Estimation

deformable-attention

Implementation of Deformable Attention in Pytorch from the paper "Vision Transformer with Deformable Attention"

dtcdscn

the implementation of the paper"Building Change Detection for Remote Sensing Images Using a Dual Task Constrained Deep Siamese Convolutional Network Model "