Showing cs.CVShow all
3 papers · 1 filter
cs.CV2026
Zero-OVCD: Bridging Training-Free Foundation Models and Pseudo-Label Learning for Open-Vocabulary Change Detection
Daifeng Peng, Yuanke Peng, Haiyan Guan
Open-vocabulary change detection (OVCD) enables the identification of user-specified land-cover changes in bitemporal remote sensing images, but existing training-free pipelines re…
cs.CV2026
Domain-Incremental Remote Sensing Change Detection via Difference-Guided Adaptation and Frequency-Decoupled Distillation
Daifeng Peng, Yaning Li, Haiyan Guan
Remote sensing change detection (RSCD) models are prone to catastrophic forgetting when incrementally adapted to new domains. Existing domain-incremental learning (DIL) methods mai…
cs.CV2023
Adapting Segment Anything Model for Change Detection in HR Remote Sensing Images
Lei Ding, Kun Zhu, Daifeng Peng +3
Vision Foundation Models (VFMs) such as the Segment Anything Model (SAM) allow zero-shot or interactive segmentation of visual contents, thus they are quickly applied in a variety…