论文标题
变换器：功能互动是您需要进行更改检测的内容
Changer: Feature Interaction is What You Need for Change Detection
论文作者
论文摘要
变化检测是长期地球观察任务的重要工具。它将双向图像作为输入，并预测发生变化的地方。与其他密集的预测任务不同，变更检测的有意义的考虑是双颞特征之间的相互作用。通过这种动机，在本文中，我们提出了一种新型的通用变化检测结构Metachanger，其中包括特征提取器中的一系列替代相互作用层。为了验证Metachanger的有效性，我们提出了两个衍生模型，即Changerad和Changerex，具有简单的交互策略：聚合分布（AD）和“交换”。 AD是从某些复杂的相互作用方法中抽象的，而“ Exchange”是通过交换双期特征的完全参数\＆无计算操作。此外，为了更好地对齐双期特征，我们提出了流动双对齐融合（FDAF）模块，该模块允许交互式对齐和特征融合。至关重要的是，我们观察到更改器系列模型在不同量表变更检测数据集上实现竞争性能。此外，我们提议的张冠军和Changerex可以作为未来Metachanger Design的首发基线。
Change detection is an important tool for long-term earth observation missions. It takes bi-temporal images as input and predicts "where" the change has occurred. Different from other dense prediction tasks, a meaningful consideration for change detection is the interaction between bi-temporal features. With this motivation, in this paper we propose a novel general change detection architecture, MetaChanger, which includes a series of alternative interaction layers in the feature extractor. To verify the effectiveness of MetaChanger, we propose two derived models, ChangerAD and ChangerEx with simple interaction strategies: Aggregation-Distribution (AD) and "exchange". AD is abstracted from some complex interaction methods, and "exchange" is a completely parameter\&computation-free operation by exchanging bi-temporal features. In addition, for better alignment of bi-temporal features, we propose a flow dual-alignment fusion (FDAF) module which allows interactive alignment and feature fusion. Crucially, we observe Changer series models achieve competitive performance on different scale change detection datasets. Further, our proposed ChangerAD and ChangerEx could serve as a starting baseline for future MetaChanger design.
