Zhan-Jun Hao

AMS-SemiCD: A Synergistic Framework for Semisupervised Change Detection via an Adaptive Pseudolabeling Strategy and a Multibranch Network

Semisupervised change detection (SSCD) aims to reduce the dependence on extensive labeled data. However, existing methods face three critical challenges. First, class imbalance and boundary ambiguity induce class-dependent confidence distributions, hindering reliable pseudolabel selection. Second, uncertain pixels may...