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...
Di Zhang, Pei-Cheng Yue, Hui-Fang Ma et al.· IEEE Transactions on Geoscie...· 0 citations
AdaDINO is presented, a pair-aware in-backbone adaptation framework that equips a frozen DINO encoder with bi-temporal interaction for efficient change detection and achieves competitive or superior performance against VFM-based baselines.
Xu Zhang, Xinqi Li, Jianpeng Xie et al.· 0 citations
This work proposes Language-Aligned Dense perception for COD (LAD-COD), a framework that aligns top-down semantic target guidance with bottom-up hierarchical visual features and allows semantic information to guide localization while preserving the fine structural details needed for camouflage segmentation.