Papers Change Detection
“Change Detection” 태그가 달린 논문 1,142편 · 필터 해제
Online Geometric Change Detection via Scene Decomposition
Autonomous robots are increasingly deployed on long duration single- and multi-session missions in dynamic environments, where the ability to identify environmental changes such as fallen trees or opened doors provides i…
Change DetectionFrom Pixels to Hierarchical Sequences: Quadtree Mask Encoding for Vision-Language Binary Change Detection
Dense change detection in remote sensing requires vision-language models (VLMs) to compare bi-temporal images and generate accurate pixel-level masks. Existing VLMs are largely confined to change captioning outputs, and …
Change DetectionA comprehensive and trustworthy benchmark of AI methods for change detection in Earth observation
Change detection in Earth observation (EO) is critical for monitoring land surface transformations, yet recent research in the field is constrained by inconsistent evaluation protocols and a narrow focus on predictive ac…
Computational EfficiencyChange DetectionReal-World Knowledge-Guided Change Data Synthesis for Remote Sensing
Change data synthesis provides a cost-effective solution for expanding training data and improving the performance of change detection models. However, existing synthesis methods typically rely on handcrafted rules to si…
Data AugmentationChange DetectionSAVER: Selective Auditing of Verbal Evidence for Error Recovery in VLM Change Reasoning
Vision-language models (VLMs) frequently fail at visual change reasoning, even when their vision encoders contain sufficient information. We observe that correct VLM outputs tend to contain explicit verbal evidence (obje…
Change DetectionChange Detection in Probability Flow ODE: Online Testing in Diffusion Latent Spaces
A rapidly growing range of sequential data tasks, such as identifying trend reversals in financial markets, auto-segmenting video and audio recordings, detecting changes in movement direction from motion sensors cannot b…
Change Detectionskchange: Fast and Flexible Algorithms for Changepoint Detection
Skchange is an open-source Python library for detecting structural changes in time series. It implements modern change detection algorithms within a unified and extensible framework. The algorithms are modular and compos…
Change DetectionSynFlow: A Multidimensional Diachronic Semantic Analysis Toolkit
Lexical semantic change (LSC) is commonly modelled through vector-space representations, but these approaches often provide limited insight into which aspects of usage are changing. Diachronic corpus research instead exa…
Change DetectionHoeffding adaptive splitting trees for data stream classification with concept drift and ensemble learning
Ensembles of decision trees are well-established methods for data stream classification. In ensemble learning, Hoeffding Trees are widely adopted as base learners, performing periodic split attempts according to the Hoef…
Ensemble LearningChange DetectionDigital Twin Degradation: Detecting Cyber Physical Attacks via Temporal Inconsistencies
Digital Twins (DTs) are increasingly used to monitor and analyze Cyber Physical Systems (CPS). However, in adversarial environments, the fidelity of a DT cannot be assumed. Communication delays, data manipulation, sensor…
Anomaly DetectionChange DetectionCogVis: Must Open-Vocabulary Change Detection Perceive the Scene Anew for Every Query?
Earth-surface monitoring requires change detection models capable of recognizing arbitrary semantic categories. Open-Vocabulary Change Detection (OVCD) addresses this need. However, existing methods often entangle tempor…
Change DetectionNon-partitioned e-detectors for nonparametric sequential change detection
We study the problem of sequential change detection over a general class of probability distributions ($\mathcal P$), where both the pre-change and post-change distributions are unknown and belong to $\mathcal P$. We do …
Change DetectionFootprintNet: State-Transition-Guided Dynamic Footprint Learning for Multi-temporal Remote Sensing Change Detection
Despite substantial progress in remote sensing multi-temporal change detection (MTCD), most existing MTCD methods still represent the dynamic process at each spatial location over the entire observation period using a si…
Change DetectionFreq-RemoteVAR: Next-Frequency Autoregressive Modeling for Remote Sensing Change Detection
Remote sensing change detection aims to identify land-cover changes from bi-temporal images. Most existing methods follow a one-shot dense prediction paradigm, directly regressing a change mask from fused features. Howev…
Change DetectionOASIS-Map: Object-Level Change Detection in Multi-Session Mapping using Semantic Correspondence Matching
Map representations which are consistent across repeated visits to a real-world semi-static environment are very useful for long-term robotic inspection. In such settings, the scene may evolve while the robot is absent, …
Semantic correspondenceChange DetectionSD-MAR: Multi-image Analytical Reasoning via Synthetic Data and Reinforcement Learning
Vision Language Models (VLMs) demonstrate strong perceptual abilities but remain limited in tasks requiring analytical reasoning across multiple visual states, such as multi-image comparison, change detection, and multi-…
Reinforcement LearningDomain GeneralizationChange DetectionASFR-Net: Adversarial Alignment and Spatio-Frequency Refinement Network for Heterogeneous Remote Sensing Image Change Detection
The core challenge of heterogeneous change detection in remote sensing imagery lies in effectively decoupling genuine land-cover changes from significant modal disparities caused by distinct imaging mechanisms. These int…
Change DetectionHilti-Trimble-Oxford Dataset: 360 Visual-Inertial Benchmark with Floor Plan Priors for SLAM and Localization
Automated progress monitoring on construction sites is an active area of research and development. Robot and human-carried mapping systems have been developed to build 3D maps of building and infrastructure projects. Whi…
Change DetectionFM-ChangeNet: Learning Change through Pathwise Feature Transport
We present FM-ChangeNet, a pathwise-supervised framework for change detection that reformulates bi-temporal reasoning as continuous transport in feature space rather than static endpoint comparison. Given encoded pre and…
Change DetectionMambaRefine-CD: MambaVision with Region-Boundary Temporal Refinement
Binary change detection in remote sensing requires both complete changed-region localization and accurate boundary delineation. We present MambaRefine-CD, a region-boundary temporal refinement framework built on a shared…
Change Detection