Semi-Supervised Scene Change Detection by Distillation from Feature-metric Alignment

S Lee, JH Kim - Proceedings of the IEEE/CVF Winter …, 2024 - openaccess.thecvf.com
Scene change detection (SCD) is a critical task for various applications, such as visual
surveillance, anomaly detection, and mobile robotics. Recently, supervised methods for …

Detecting object-level scene changes in images with viewpoint differences using graph matching

K Doi, R Hamaguchi, Y Iwasawa, M Onishi, Y Matsuo… - Remote Sensing, 2022 - mdpi.com
We developed a robust object-level change detection method that could capture distinct
scene changes in an image pair with viewpoint differences. To achieve this, we designed a …

A volumetric change detection framework using UAV oblique photogrammetry–a case study of ultra-high-resolution monitoring of progressive building collapse

N Xu, D Huang, S Song, X Ling… - … Journal of Digital …, 2021 - Taylor & Francis
In this paper, we present a case study that performs an unmanned aerial vehicle (UAV)
based fine-scale 3D change detection and monitoring of progressive collapse performance …

A deep learning based platform for remote sensing images change detection integrating crowdsourcing and active learning

Z Wang, J Zhang, L Bai, H Chang, Y Chen, Y Zhang… - Sensors, 2024 - mdpi.com
Remote sensing images change detection technology has become a popular tool for
monitoring the change type, area, and distribution of land cover, including cultivated land …

Scene change detection: semantic and depth information

J Li, P Tang, Y Wu, M Pan, Z Tang, G Hui - Multimedia Tools and …, 2022 - Springer
Change detection is widely used in city construction, remote image detection, autonomous
driving and so on. The most important challenge in change detection is how to define the …

Zero-Shot Scene Change Detection

K Cho, DY Kim, E Kim - arXiv preprint arXiv:2406.11210, 2024 - arxiv.org
We present a novel, training-free approach to scene change detection. Our method
leverages tracking models, which inherently perform change detection between consecutive …

Where Does It Belong? Autonomous Object Mapping in Open-World Settings

E Langer, T Patten, M Vincze - Frontiers in Robotics and AI, 2022 - frontiersin.org
Detecting changes such as moved, removed, or new objects is the essence for numerous
indoor applications in robotics such as tidying-up, patrolling, and fetch/carry tasks. The …

Epipolar-guided deep object matching for scene change detection

R Hamaguchi, S Iwase, R Yokota, Y Matsuo… - arXiv preprint arXiv …, 2020 - arxiv.org
This paper describes a viewpoint-robust object-based change detection network (OBJ-
CDNet). Mobile cameras such as drive recorders capture images from different viewpoints …

Self-Supervised Object Recognition Based on Repeated Re-Capturing of Dynamic Indoor Environments

M Piccolrovazzi, MG Adam, S Eger… - … on Multimedia (ISM), 2022 - ieeexplore.ieee.org
Capturing a digital replica of an environment using hand held devices or mobile mapping
systems has become increasingly easy in recent years. However, leveraging large amounts …

[PDF][PDF] An Adaptive Kernel Layer Deep Neural Network for Remote Sensing Imageries

T Al Shoura - 2022 - prism.ucalgary.ca
Convolutional neural networks in recent years have become wildly utilized for the various
applications that deal with images, going through different architectures and development to …