Change Detection

Description from the archive archive 2025-07-28.

Benchmarks archive 2025-07-28

18 leaderboard tables shown for this task, 17 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. 10 shown of 18 until expanded.

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

20 datasets whose archive record lists this task, ordered by the archive's paper count.

Subtasks archive 2025-07-28

1 subtask in the archive's task tree.

Most implemented papers archive 2025-07-28

30 shown of 369 papers with code (919 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.

• TristouNet: Triplet Loss for Speaker Turn Embedding
  14 Sep 2016 6 repositories listed
  TristouNet is a neural network architecture based on Long Short-Term Memory recurrent networks, meant to project speech sequences into a fixed-dimensional euclidean space.
• Seasonal Contrast: Unsupervised Pre-Training from Uncurated Remote Sensing Data
  30 Mar 2021 5 repositories listed Syntology ran 0 of 8 samples · 8 unverified
  Transfer learning approaches can reduce the data requirements of deep learning algorithms.
• 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.
• SNUNet-CD: A Densely Connected Siamese Network for Change Detection of VHR Images
  17 Feb 2021 5 repositories listed
  Recent change detection methods always focus on the extraction of deep change semantic feature, but ignore the importance of shallow-layer information containing high-resolution and fine-grained features, this often…
• A Spatial-Temporal Attention-Based Method and a New Dataset for Remote Sensing Image Change Detection
  22 May 2020 5 repositories listed
  Remote sensing image change detection (CD) is done to identify desired significant changes between bitemporal images.
• Fully Convolutional Siamese Networks for Change Detection
  19 Oct 2018 5 repositories listed
  This paper presents three fully convolutional neural network architectures which perform change detection using a pair of coregistered images.
• A deeply supervised image fusion network for change detection in high resolution bi-temporal remote sensing images
  1 Jun 2020 4 repositories listed
  Then, the extracted deep features are fed into a deeply supervised difference discrimination network (DDN) for change detection.
• xBD: A Dataset for Assessing Building Damage from Satellite Imagery
  21 Nov 2019 4 repositories listed Syntology ran 0 of 1 samples · 1 unverified
  xBD is the largest building damage assessment dataset to date, containing 850, 736 building annotations across 45, 362 km\textsuperscript{2} of imagery.
• Detecting Urban Changes with Recurrent Neural Networks from Multitemporal Sentinel-2 Data
  17 Oct 2019 4 repositories listed
  \begin{abstract} The advent of multitemporal high resolution data, like the Copernicus Sentinel-2, has enhanced significantly the potential of monitoring the earth's surface and environmental dynamics.
• Change Detection in Multi-temporal VHR Images Based on Deep Siamese Multi-scale Convolutional Networks
  27 Jun 2019 4 repositories listed
  Based on the unit two novel deep siamese convolutional neural networks, called as deep siamese multi-scale convolutional network (DSMS-CN) and deep siamese multi-scale fully convolutional network (DSMS-FCN), are…
• CDMamba: Incorporating Local Clues into Mamba for Remote Sensing Image Binary Change Detection
  6 Jun 2024 3 repositories listed
  Specifically, the Scaled Residual ConvMamba (SRCM) block is proposed to utilize the ability of Mamba to extract global features and convolution to enhance the local details to alleviate the issue that current…
• Time Travelling Pixels: Bitemporal Features Integration with Foundation Model for Remote Sensing Image Change Detection
  23 Dec 2023 3 repositories listed
  Change detection, a prominent research area in remote sensing, is pivotal in observing and analyzing surface transformations.
• Joint Spatio-Temporal Modeling for the Semantic Change Detection in Remote Sensing Images
  10 Dec 2022 3 repositories listed Syntology ran 2 of 2 samples · 0 unverified · 2 pointer-only (licence)
  Semantic Change Detection (SCD) refers to the task of simultaneously extracting the changed areas and the semantic categories (before and after the changes) in Remote Sensing Images (RSIs).
• A Transformer-Based Siamese Network for Change Detection
  4 Jan 2022 3 repositories listed Syntology ran 4 of 6 samples · 2 unverified
  This paper presents a transformer-based Siamese network architecture (abbreviated by ChangeFormer) for Change Detection (CD) from a pair of co-registered remote sensing images.
• Deep Image Translation with an Affinity-Based Change Prior for Unsupervised Multimodal Change Detection
  13 Jan 2020 3 repositories listed
  Image translation with convolutional neural networks has recently been used as an approach to multimodal change detection.
• Unsupervised Change Detection in Multi-temporal VHR Images Based on Deep Kernel PCA Convolutional Mapping Network
  18 Dec 2019 3 repositories listed Syntology ran 0 of 12 samples · 12 unverified
  Based on the KPCA convolution, an unsupervised deep siamese KPCA convolutional mapping network (KPCA-MNet) is designed for binary and multi-class change detection.
• pyannote.audio: neural building blocks for speaker diarization
  4 Nov 2019 3 repositories listed Syntology ran 1 of 1 samples · 0 unverified
  We introduce pyannote.
• Shape and Time Distortion Loss for Training Deep Time Series Forecasting Models
  19 Sep 2019 3 repositories listed Syntology ran 0 of 3 samples · 3 unverified · 1 pointer-only (licence)
  We introduce a differentiable loss function suitable for training deep neural nets, and provide a custom back-prop implementation for speeding up optimization.
• Improving Zero-Shot Object-Level Change Detection by Incorporating Visual Correspondence
  9 Jan 2025 2 repositories listed
  Detecting object-level changes between two images across possibly different views is a core task in many applications that involve visual inspection or camera surveillance.
• Remote Sensing Temporal Vision-Language Models: A Comprehensive Survey
  3 Dec 2024 2 repositories listed
  This survey fills a critical gap in the literature by providing an integrated overview of RSTVLM, offering a foundation for further advancements in remote sensing temporal image understanding.
• 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.
• 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.
• LSKNet: A Foundation Lightweight Backbone for Remote Sensing
  18 Mar 2024 2 repositories listed
  While a considerable amount of research has been dedicated to remote sensing classification, object detection and semantic segmentation, most of these studies have overlooked the valuable prior knowledge embedded within…
• RSBuilding: Towards General Remote Sensing Image Building Extraction and Change Detection with Foundation Model
  12 Mar 2024 2 repositories listed
  RSBuilding is designed to enhance cross-scene generalization and task universality.
• A Semantic Distance Metric Learning approach for Lexical Semantic Change Detection
  1 Mar 2024 2 repositories listed
  Experimental results on multiple benchmark datasets for SCD show that our proposed method achieves strong performance in multiple languages.
• 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.
• Scalable Multi-Temporal Remote Sensing Change Data Generation via Simulating Stochastic Change Process
  29 Sep 2023 2 repositories listed Syntology ran 5 of 5 samples · 0 unverified
  To solve these two problems, we present the change generator (Changen), a GAN-based GPCM, enabling controllable object change data generation, including customizable object property, and change event.
• The Change You Want to See (Now in 3D)
  21 Aug 2023 2 repositories listed Syntology ran 3 of 3 samples · 0 unverified · 3 pointer-only (licence)
  The goal of this paper is to detect what has changed, if anything, between two "in the wild" images of the same 3D scene acquired from different camera positions and at different temporal instances.
• Hard Region Aware Network for Remote Sensing Change Detection
  31 May 2023 2 repositories listed
  Finally, the hard region aware features extracted from the online hard region estimation branch and multi-level temporal difference features are aggregated into a unified feature representation to improve the accuracy…
• Fast and Attributed Change Detection on Dynamic Graphs with Density of States
  15 May 2023 2 repositories listed Syntology ran 7 of 7 samples · 0 unverified · 7 pointer-only (licence)
  Current solutions do not scale well to large real-world graphs, lack robustness to large amounts of node additions/deletions, and overlook changes in node attributes.

Syntology lines on 11 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.