Papers Scene Change Detection
“Scene Change Detection” 태그가 달린 논문 34편 · 필터 해제
VSCD: Video-based Scene Change Detection in Unaligned Scenes
Detecting what has changed in an environment is essential for long-term autonomy, yet most change detection settings assume fixed viewpoints, mild misalignment, or only a few changed objects. We introduce Video-based Sce…
Scene Change DetectionIncremental LearningTERDNet: Transformer Encoder-Recurrent Decoder Network for Scene Change Detection
In this work, we address the challenge of Scene Change Detection (SCD), where the goal is to identify variations between two images of the same location captured at different times. Existing SCD models often overlook the…
Scene Change DetectionFrom Image Hashing to Scene Change Detection
Image hashing provides compact representations for efficient storage and retrieval but is inherently limited to global comparison and cannot reason about where changes occur. This limitation prevents hashing from being d…
Scene Change DetectionContrastive LearningFrom Pixels to Primitives: Scene Change Detection in 3D Gaussian Splatting
Scene change detection methods built on Gaussian splatting universally follow a render-then-compare paradigm: the pre-change scene is rendered into 2D and compared against post-change images via pixel or feature residual…
Scene Change DetectionSCD4VPR: Multi-modal Scene Change Detection for Long-term Visual Place Recognition Database Update
Long-term autonomy in mobile robotics requires maps that remain accurate as environments change over time. Visual Place Recognition (VPR), a core localization capability, degrades sharply as the temporal gap between quer…
Representation LearningScene Change DetectionPredictive Photometric Uncertainty in Gaussian Splatting for Novel View Synthesis
Recent advances in 3D Gaussian Splatting have enabled impressive photorealistic novel view synthesis. However, to transition from a pure rendering engine to a reliable spatial map for autonomous agents and safety-critica…
Scene Change DetectionNovel View SynthesisAnomaly Detection3D Scene Change Modeling With Consistent Multi-View Aggregation
Change detection plays a vital role in scene monitoring, exploration, and continual reconstruction. Existing 3D change detection methods often exhibit spatial inconsistency in the detected changes and fail to explicitly …
Scene Change DetectionChanges in Real Time: Online Scene Change Detection with Multi-View Fusion
Online Scene Change Detection (SCD) is an extremely challenging problem that requires an agent to detect relevant changes on the fly while observing the scene from unconstrained viewpoints. Existing online SCD methods ar…
Scene Change DetectionPose EstimationLeveraging Geometric Priors for Unaligned Scene Change Detection
Unaligned Scene Change Detection aims to detect scene changes between image pairs captured at different times without assuming viewpoint alignment. To handle viewpoint variations, current methods rely solely on 2D visual…
Scene Change DetectionEMPLACE: Self-Supervised Urban Scene Change Detection
Urban change is a constant process that influences the perception of neighbourhoods and the lives of the people within them. The field of Urban Scene Change Detection (USCD) aims to capture changes in street scenes using…
Change DetectionScene Change DetectionTripletTowards Generalizable Scene Change Detection
While current state-of-the-art Scene Change Detection (SCD) approaches achieve impressive results in well-trained research data, they become unreliable under unseen environments and different temporal conditions; in-…
Change DetectionScene Change DetectionRobust Scene Change Detection Using Visual Foundation Models and Cross-Attention Mechanisms
We 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 s…
Change DetectionScene Change DetectionZeroSCD: Zero-Shot Street Scene Change Detection
Scene Change Detection is a challenging task in computer vision and robotics that aims to identify differences between two images of the same scene captured at different times. Traditional change detection methods rely o…
Change DetectionScene Change DetectionSegmentationSemantic SegmentationTowards Generalizable Scene Change Detection
Scene Change Detection (SCD) is vital for applications such as visual surveillance and mobile robotics. However, current SCD methods exhibit a bias to the temporal order of training datasets and limited performance on un…
Change DetectionScene Change DetectionZero-Shot Scene Change Detection
We present a novel, training-free approach to scene change detection. Our method leverages tracking models, which inherently perform change detection between consecutive frames of video by identifying common objects and …
Change DetectionScene Change DetectionA Category Agnostic Model for Visual Rearrangment
This paper presents a novel category agnostic model for visual rearrangement task which can help an embodied agent to physically recover the shuffled scene configuration without any category concepts to the goal conf…
Change DetectionmodelScene Change DetectionUnsupervised Change Detection for Space Habitats Using 3D Point Clouds
This work presents an algorithm for scene change detection from point clouds to enable autonomous robotic caretaking in future space habitats. Autonomous robotic systems will help maintain future deep-space habitats, suc…
Change DetectionScene Change DetectionSeaDSC: A video-based unsupervised method for dynamic scene change detection in unmanned surface vehicles
Recently, there has been an upsurge in the research on maritime vision, where a lot of works are influenced by the application of computer vision for Unmanned Surface Vehicles (USVs). Various sensor modalities such as ca…
Change DetectionMotion Planningobject-detectionObject Detection+3Industrial Scene Change Detection using Deep Convolutional Neural Networks
Finding and localizing the conceptual changes in two scenes in terms of the presence or removal of objects in two images belonging to the same scene at different times in special care applications is of great significanc…
Change DetectionScene Change DetectionTransfer LearningScene Change Detection Using Multiscale Cascade Residual Convolutional Neural Networks
Scene change detection is an image processing problem related to partitioning pixels of a digital image into foreground and background regions. Mostly, visual knowledge-based computer intelligent systems, like traffic mo…
Anomaly DetectionChange DetectionScene Change Detection