GCD-DDPM: A Generative Change Detection Model Based on Difference-Feature Guided DDPM

arXiv:2306.03424v4 Announce Type: replace
Abstract: Deep learning (DL)-based methods have recently shown great promise in bitemporal change detection (CD). Existing discriminative methods based on Convolutional Neural Networks (CNNs) and Transformers rely on discriminative representation learning for change recognition while struggling with exploring local and long-range contextual dependencies. As a result, it is still challenging to obtain fine-grained and robust CD maps in diverse ground scenes. To cope with this challenge, this work proposes a generative change detection model called GCD-DDPM …

arxiv change cs.cv ddpm detection difference feature generative type