遥感变化检测标注工具『Remote sensing change detection annotation tool』

matlab and python wrap of crf and dense crf, both 2d and 3d are supported

fit piecewise linear data for a specified number of line segments

AROSICS - Automated and Robust Open-Source Image Co-Registration Software

building segmentation dataset

This is an official implementation for "AutoFocusFormer: Image Segmentation off the Grid".

Submanifold sparse convolutional networks

A large pixel level MCD dataset

Code of Stacked Cross Refinement Network for Edge-Aware Salient Object Detection (ICCV 2019)

Datasets and Code for: https://arxiv.org/pdf/2305.14914.pdf

Officail Repo for the EarthNets Platform. https://ieeexplore.ieee.org/abstract/document/10731951

The repository provides code for running inference with the SegmentAnything Model (SAM), links for downloading the trained model checkpoints, and example notebooks that show how to use the model.

The official code of CVPR 2022 paper (Class Re-Activation Maps for Weakly-Supervised Semantic Segmentation).

SAM Enhance Mask Quality for WSSS: This repository provides tools for generating, evaluating, and visualizing enhanced pseudo masks for Weakly Supervised Semantic Segmentation (WSSS) using the Segm…

[NeurIPS 2022 Spotlight] This is the official PyTorch implementation of "Fast Vision Transformers with HiLo Attention"

Depthwise Over-parameterized Convolutional Layer

Deep learning models for change detection of remote sensing images

Read list for deep learning based Salient Object Detection in Optical Remote Sensing Images

code for Region Proposal by Guided Anchoring

The Winning Solution to the Cultivated land Extraction From High-Resolution Remote Sensing Image Challenge (1 / 486)

A PyTorch implementation of SRGAN based on CVPR 2017 paper "Photo-Realistic Single Image Super-Resolution Using a Generative Adversarial Network"

Code for CVPR2022 paper: Instance Segmentation with Mask-supervised Polygonal Boundary Transformers

A dataset for deep learning based urban semantic chang detection.

Imbalanced learning tool for imbalanced recognition and segmentation

Efficient AI Backbones including GhostNet, TNT and MLP, developed by Huawei Noah's Ark Lab.