Semi-supervised Change Detection

5 papers with code • 8 benchmarks • 1 datasets

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Datasets


Most implemented papers

BLDNet: A Semi-supervised Change Detection Building Damage Framework using Graph Convolutional Networks and Urban Domain Knowledge

awadailab/gcn-remote-sensing 25 Jan 2022

While convolutional neural networks are at the core of recent change detection solutions, we present in this work, BLDNet, a novel graph formulation for building damage change detection and enable learning relationships and representations from both local patterns and non-stationary neighborhoods.

Revisiting Consistency Regularization for Semi-supervised Change Detection in Remote Sensing Images

wgcban/SemiCD 18 Apr 2022

The performance of existing deep supervised CD methods is attributed to the large amounts of annotated data used to train the networks.

Semi-supervised Change Detection of Small Water Bodies Using RGB and Multispectral Images in Peruvian Rainforests

ckn3/SVM-Change-Detection 19 Jun 2022

Artisanal and Small-scale Gold Mining (ASGM) is an important source of income for many households, but it can have large social and environmental effects, especially in rainforests of developing countries.

Revisiting Weak-to-Strong Consistency in Semi-Supervised Semantic Segmentation

LiheYoung/UniMatch CVPR 2023

In this work, we revisit the weak-to-strong consistency framework, popularized by FixMatch from semi-supervised classification, where the prediction of a weakly perturbed image serves as supervision for its strongly perturbed version.