Browse State-of-the-Art › Scene Change Detection
Scene Change Detection
13 papers with code · 6 benchmarks · 6 datasets archive 2025-07-28
Scene change detection (SCD) refers to the task of localizing changes and identifying change-categories given two scenes. A scene can be either an RGB (+D) image or a 3D reconstruction (point cloud). If the scene is an image, SCD is a form of pixel-level prediction because each pixel in the image is classified according to a category. On the other hand, if the scene is point cloud, SCD is a form of point-level prediction because each point in the cloud is classified according to a category.
Some example benchmarks for this task are VL-CMU-CD, PCD, and CD2014. Recently, more complicated benchmarks such as ChangeSim, HDMap, and Mallscape are released.
Models are usually evaluated with the Mean Intersection-Over-Union (Mean IoU), Pixel Accuracy, or F1 metrics.
Description from the archive archive 2025-07-28.
Benchmarks archive 2025-07-28
6 leaderboard tables shown for this task, 6 with rows (a “benchmark” on this site is a table with at least one row, as on /sota), ordered by row count. “Best model” is the first row in the archive's own order at snapshot; nothing is re-ranked here and metric direction is not recorded in the archive. PwC's Trend sparklines are not in the archive, so that column is omitted.
| Dataset | Best model (first row in archive order) | Paper | Code | Syntology | Compare |
|---|---|---|---|---|---|
| ChangeSim (3 rows) | C-3PO | How to Reduce Change Detection to Semantic Segmentation | code | Syntology ran 1 of 10 samples · 9 unverified | Compare |
| PCD (2 rows) | C-3PO (VGG-16) | How to Reduce Change Detection to Semantic Segmentation | code | Syntology ran 1 of 10 samples · 9 unverified | Compare |
| Unaligned-VL-CMU-CD (neighbor distance 2) (2 rows) | Robust-Scene-Change-Detection (Diff-View Augmentation) | Robust Scene Change Detection Using Visual Foundation Models and... | code | — | Compare |
| VL-CMU-CD (2 rows) | C-3PO (VGG-16) | How to Reduce Change Detection to Semantic Segmentation | code | Syntology ran 1 of 10 samples · 9 unverified | Compare |
| ChangeVPR (1 row) | GeSCF (zero-shot) | Towards Generalizable Scene Change Detection | code | — | Compare |
| Semantic Scene Understanding Challenge (passive actuation & ground-truth localisation) (1 row) | Demo_SCD | — | — | — | Compare |
Syntology column: samples harvested from the paper's repositories and executed on synthesized fixtures; “ran” is not a correctness claim and does not order the table. A dash means no Syntology record for that paper, not a recorded non-run. Read from the graph 2026-09-24.
Libraries
Not in the archive: the export carries no per-task library table, so there is nothing to show at snapshot 2025-07-28.
Datasets archive 2025-07-28
6 datasets whose archive record lists this task, ordered by the archive's paper count.
Subtasks archive 2025-07-28
No subtask under this task in the archive's task tree.
Most implemented papers archive 2025-07-28
13 shown of 13 papers with code (25 tagged with this task in all), ordered by repositories listed in the archive, not by stars (the archive holds no stars, so PwC's “Social” and “Latest” sorts cannot be reproduced). Papers without a page here are shown as plain text.
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22 Oct 2018 2 repositories listedA critical challenge problem of scene change detection is that noisy changes generated by varying illumination, shadows and camera viewpoint make variances of a scene difficult to define and measure since the noisy…
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22 Mar 2025 1 repository listed Syntology ran 4 of 7 samples · 3 unverified · 7 pointer-only (licence)Urban change is a constant process that influences the perception of neighbourhoods and the lives of the people within them.
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25 Sep 2024 1 repository listedWe present a novel method for scene change detection that leverages the robust feature extraction capabilities of a visual foundational model, DINOv2, and integrates full-image cross-attention to address key challenges…
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10 Sep 2024 1 repository listedThe proposed GeSCF leverages localized semantics of a foundation model without any re-training or fine-tuning -- for generalization over unseen domains.
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17 Jun 2024 1 repository listedWe present a novel, training-free approach to scene change detection.
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4 Dec 2023 1 repository listedThis work presents an algorithm for scene change detection from point clouds to enable autonomous robotic caretaking in future space habitats.
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2 Dec 2022 1 repository listedChange detection (CD) aims to find the difference between two images at different times and outputs a change map to represent whether the region has changed or not.
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11 Aug 2022 1 repository listedSCD is challenging due to noisy changes in illumination, seasonal variations, and perspective differences across a pair of views.
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15 Jun 2022 1 repository listed Syntology ran 1 of 10 samples · 9 unverifiedAnd most segmentation networks can be adapted to solve the CD problems with our MTF module.
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9 Mar 2021 1 repository listedWe present a challenging dataset, ChangeSim, aimed at online scene change detection (SCD) and more.
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1 Mar 2021 1 repository listedStreet scene change detection continues to capture researchers' interests in the computer vision community.
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3 Jun 2020 1 repository listedIn this work, we proposed a CorrFusion module that fuses the highly correlated components in bi-temporal feature embeddings.
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29 Nov 2018 1 repository listedA straightforward approach for this task is to train a semantic change detection network directly from a large-scale dataset in an end-to-end manner.
Syntology lines on 2 of the papers shown; no Syntology record for the others (a paper without an arXiv id cannot be joined to the graph, and absence from the graph layer is not a recorded non-run). “Ran” means the sample executed on a synthesized fixture, not that the paper's result was reproduced. Read from the graph 2026-09-24.
Report a problem or propose a change · a person checks every report against the paper or source before anything changes; decisions are listed on /corrections