Change Detection Methods for Remote Sensing in the Last Decade: A Comprehensive Review

no code implementations • 9 May 2023 • Guangliang Cheng, Yunmeng Huang, Xiangtai Li, Shuchang Lyu, Zhaoyang Xu, Qi Zhao, Shiming Xiang

We first introduce some preliminary knowledge for the change detection task, such as problem definition, datasets, evaluation metrics, and transformer basics, as well as provide a detailed taxonomy of existing algorithms from three different perspectives: algorithm granularity, supervision modes, and learning frameworks in the methodology section.

Change Detection Change detection for remote sensing images

An Adaptive Plug-and-Play Network for Few-Shot Learning

no code implementations • 18 Feb 2023 • Hao Li, Li Li, Yunmeng Huang, Ning li, Yongtao Zhang

Few-shot learning (FSL) requires a model to classify new samples after learning from only a few samples.

Few-Shot Learning