Semi-supervised Change Detection

Benchmarks archive 2025-07-28

8 leaderboard tables shown for this task, 8 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.

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

1 dataset 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.

Parent tasks archive 2025-07-28

Most implemented papers archive 2025-07-28

7 shown of 7 papers with code (12 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.

• SemiCD-VL: Visual-Language Model Guidance Makes Better Semi-supervised Change Detector
  8 May 2024 2 repositories listed
  The insight of SemiCD-VL is to synthesize free change labels using VLMs to provide additional supervision signals for unlabeled data.
• UniMatch V2: Pushing the Limit of Semi-Supervised Semantic Segmentation
  14 Oct 2024 1 repository listed Syntology ran 2 of 5 samples · 3 unverified
  Despite the achieved progress, strangely, even in this flourishing era of numerous powerful vision models, almost all SSS works are still sticking to 1) using outdated ResNet encoders with small-scale ImageNet-1K…
• C2F-SemiCD: A Coarse-to-Fine Semi-Supervised Change Detection Method Based on Consistency Regularization in High-Resolution Remote Sensing Images
  22 Apr 2024 1 repository listed
  A high-precision feature extraction model is crucial for change detection (CD).
• Revisiting Weak-to-Strong Consistency in Semi-Supervised Semantic Segmentation
  21 Aug 2022 1 repository listed Syntology ran 4 of 9 samples · 5 unverified
  In this work, we revisit the weak-to-strong consistency framework, popularized by FixMatch from semi-supervised classification, where the prediction of a weakly perturbed image serves as supervision for its strongly…
• Semi-supervised Change Detection of Small Water Bodies Using RGB and Multispectral Images in Peruvian Rainforests
  19 Jun 2022 1 repository listed
  Artisanal and Small-scale Gold Mining (ASGM) is an important source of income for many households, but it can have large social and environmental effects, especially in rainforests of developing countries.
• Revisiting Consistency Regularization for Semi-supervised Change Detection in Remote Sensing Images
  18 Apr 2022 1 repository listed
  The performance of existing deep supervised CD methods is attributed to the large amounts of annotated data used to train the networks.
• BLDNet: A Semi-supervised Change Detection Building Damage Framework using Graph Convolutional Networks and Urban Domain Knowledge
  25 Jan 2022 1 repository listed
  While convolutional neural networks are at the core of recent change detection solutions, we present in this work, BLDNet, a novel graph formulation for building damage change detection and enable learning relationships…

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.