Papers › Changer: Feature Interaction is What You Need for Change Detection

Changer: Feature Interaction is What You Need for Change Detection

17 Sep 2022arXiv:2209.08290archive 2025-07-28

Sheng Fang, Kaiyu Li, Zhe Li

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.

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likyoo/open-cd officialmentioned in papermentioned on GitHubpytorchApache-2.0 report

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Tasks

Building change detection for remote sensing imagesChange DetectionEarth Observation

Results from the paper archive 2025-07-28

TaskDatasetModelMetricValueRank at snapshotLeaderboardReport
Building change detection for remote sensing images LEVIR-CD Changer (Ex, ResNeSt101) F1 92.33 #3 of 37 Archive leaderboard report
Building change detection for remote sensing images LEVIR-CD Changer (Ex, ResNeSt101) IoU 85.76 #3 of 37 Archive leaderboard report
Building change detection for remote sensing images LEVIR-CD Changer (Ex, ResNeSt50) F1 92.19 #6 of 37 Archive leaderboard report
Building change detection for remote sensing images LEVIR-CD Changer (Ex, ResNeSt50) IoU 85.51 #6 of 37 Archive leaderboard report
Building change detection for remote sensing images LEVIR-CD Changer (Ex, ResNet-18) F1 91.77 #12 of 37 Archive leaderboard report
Building change detection for remote sensing images LEVIR-CD Changer (Ex, ResNet-18) IoU 84.80 #12 of 37 Archive leaderboard report
Change Detection LEVIR-CD Changer (Ex, ResNeSt101) F1 92.33 #6 of 28 Archive leaderboard report
Change Detection LEVIR-CD Changer (Ex, ResNeSt101) IoU 85.76 #6 of 28 Archive leaderboard report
Change Detection LEVIR-CD Changer (Ex, ResNeSt50) F1 92.19 #10 of 28 Archive leaderboard report
Change Detection LEVIR-CD Changer (Ex, ResNeSt50) IoU 85.51 #10 of 28 Archive leaderboard report
Change Detection LEVIR-CD Changer (Ex, ResNet-18) F1 91.77 #16 of 28 Archive leaderboard report
Change Detection LEVIR-CD Changer (Ex, ResNet-18) IoU 84.80 #16 of 28 Archive leaderboard report
Change Detection S2Looking Changer (Ex, ResNet-18) F1-Score 66.20 #6 of 11 Archive leaderboard report

Ranks are positions in the archive's leaderboards as they stood at the 2025-07-28 snapshot. Results published since then are not among these rows, so a rank here is not a current standing.

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