Papers › Fully Convolutional Siamese Networks for Change Detection
Fully Convolutional Siamese Networks for Change Detection
Rodrigo Caye Daudt, Bertrand Le Saux, Alexandre Boulch
This paper presents three fully convolutional neural network architectures which perform change detection using a pair of coregistered images. Most notably, we propose two Siamese extensions of fully convolutional networks which use heuristics about the current problem to achieve the best results in our tests on two open change detection datasets, using both RGB and multispectral images. We show that our system is able to learn from scratch using annotated change detection images. Our architectures achieve better performance than previously proposed methods, while being at least 500 times faster than related systems. This work is a step towards efficient processing of data from large scale Earth observation systems such as Copernicus or Landsat.
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Code
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Tasks
Results from the paper archive 2025-07-28
| Task | Dataset | Model | Metric | Value | Rank at snapshot | Leaderboard | Report |
|---|---|---|---|---|---|---|---|
| Change Detection | CLCD | FC-Siam-diff | F1 | 54.1 | #3 of 3 | Archive leaderboard | report |
| Change Detection | EGY-BCD | FC-Siam-diff | F1 | 42.3 | #3 of 3 | Archive leaderboard | report |
| Change Detection | GVLM | FC-Siam-diff | F1 | 74.3 | #4 of 4 | Archive leaderboard | report |
| Change Detection | OSCD - 13ch | FC-Siam-Diff | F1 | 57.92 | #1 of 6 | Archive leaderboard | report |
| Change Detection | OSCD - 13ch | FC-Siam-Diff | Precision | 51.84 | #1 of 6 | Archive leaderboard | report |
| Change Detection | OSCD - 13ch | FC-EF | F1 | 56.91 | #2 of 6 | Archive leaderboard | report |
| Change Detection | OSCD - 13ch | FC-EF | Precision | 64.42 | #2 of 6 | Archive leaderboard | report |
| Change Detection | OSCD - 3ch | FC-EF | F1 | 48.89 | #5 of 6 | Archive leaderboard | report |
| Change Detection | OSCD - 3ch | FC-Siam-diff | Precision | 49.81 | #6 of 6 | Archive leaderboard | report |
| Video Object Tracking | NT-VOT211 | SiamFC | AUC | 32.62 | #28 of 43 | Archive leaderboard | report |
| Video Object Tracking | NT-VOT211 | SiamFC | Precision | 40.81 | #28 of 43 | 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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