Building change detection for remote sensing images

Benchmarks archive 2025-07-28

2 leaderboard tables shown for this task, 2 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

4 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.

Parent tasks archive 2025-07-28

Most implemented papers archive 2025-07-28

19 shown of 19 papers with code (22 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.

• Remote Sensing Image Change Detection with Transformers
  27 Feb 2021 5 repositories listed
  To achieve this, we express the bitemporal image into a few tokens, and use a transformer encoder to model contexts in the compact token-based space-time.
• Change is Everywhere: Single-Temporal Supervised Object Change Detection in Remote Sensing Imagery
  16 Aug 2021 3 repositories listed Syntology ran 0 of 3 samples · 3 unverified
  For high spatial resolution (HSR) remote sensing images, bitemporal supervised learning always dominates change detection using many pairwise labeled bitemporal images.
• Test-Time Training with Self-Supervision for Generalization under Distribution Shifts
  29 Sep 2019 3 repositories listed
  In this paper, we propose Test-Time Training, a general approach for improving the performance of predictive models when training and test data come from different distributions.
• MTP: Advancing Remote Sensing Foundation Model via Multi-Task Pretraining
  20 Mar 2024 2 repositories listed Syntology ran 4 of 5 samples · 1 unverified
  However, transferring the pretrained models to downstream tasks may encounter task discrepancy due to their formulation of pretraining as image classification or object discrimination tasks.
• A New Learning Paradigm for Foundation Model-based Remote Sensing Change Detection
  2 Dec 2023 2 repositories listed
  Change detection (CD) is a critical task to observe and analyze dynamic processes of land cover.
• Transition Is a Process: Pair-to-Video Change Detection Networks for Very High Resolution Remote Sensing Images
  7 Dec 2022 2 repositories listed
  In view of these issues, we propose a more explicit and sophisticated modeling of time and accordingly establish a pair-to-video change detection (P2V-CD) framework.
• TINYCD: A (Not So) Deep Learning Model For Change Detection
  26 Jul 2022 2 repositories listed
  Despite being from 13 to 140 times smaller than the compared change detection models, and exposing at least a third of the computational complexity, our model outperforms the current state-of-the-art models by at least…
• An Empirical Study of Remote Sensing Pretraining
  6 Apr 2022 2 repositories listed
  To this end, we train different networks from scratch with the help of the largest RS scene recognition dataset up to now -- MillionAID, to obtain a series of RS pretrained backbones, including both convolutional neural…
• BRIGHT: A globally distributed multimodal building damage assessment dataset with very-high-resolution for all-weather disaster response
  10 Jan 2025 1 repository listed
  In this paper, we present a BDA dataset using veRy-hIGH-resoluTion optical and SAR imagery (BRIGHT) to support AI-based all-weather disaster response.
• SRC-Net: Bi-Temporal Spatial Relationship Concerned Network for Change Detection
  9 Jun 2024 1 repository listed
  The bi-temporal spatial relationships between features at the same location at different times play a key role in this process.
• RS-Mamba for Large Remote Sensing Image Dense Prediction
  3 Apr 2024 1 repository listed Syntology ran 2 of 6 samples · 4 unverified · 6 pointer-only (licence)
  RSM is specifically designed to capture the global context of remote sensing images with linear complexity, facilitating the effective processing of large VHR images.
• LightCDNet: Lightweight Change Detection Network Based on VHR Images
  11 Aug 2023 1 repository listed
  Reducing the model size while maintaining high accuracy is a key challenge in developing lightweight change detection models.
• Ultralightweight Spatial–Spectral Feature Cooperation Network for Change Detection in Remote Sensing Images
  24 Mar 2023 1 repository listed
  First, the existing multiscale feature fusion methods often use redundant feature extraction and fusion strategies, which often lead to high computational costs and memory usage.
• Detecting Building Changes with Off-Nadir Aerial Images
  26 Jan 2023 1 repository listed
  The tilted viewing nature of the off-nadir aerial images brings severe challenges to the building change detection (BCD) problem: the mismatch of the nearby buildings and the semantic ambiguity of the building facades.
• SARAS-Net: Scale and Relation Aware Siamese Network for Change Detection
  2 Dec 2022 1 repository listed
  Change 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.
• Changer: Feature Interaction is What You Need for Change Detection
  17 Sep 2022 1 repository listed
  To verify the effectiveness of MetaChanger, we propose two derived models, ChangerAD and ChangerEx with simple interaction strategies: Aggregation-Distribution (AD) and "exchange".
• Building Extraction from Remote Sensing Images with Sparse Token Transformers
  5 Nov 2021 1 repository listed
  Deep learning methods have achieved considerable progress in remote sensing image building extraction.
• Adversarial Instance Augmentation for Building Change Detection in Remote Sensing Images
  25 Mar 2021 1 repository listed
  The key of IAug is to blend synthesized building instances onto appropriate positions of one of the bitemporal images.
• Looking for change? Roll the Dice and demand Attention
  4 Sep 2020 1 repository listed
  Further, we introduce a new encoder/decoder scheme, a network macro-topology, that is tailored for the task of change detection.

Syntology lines on 3 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.