We present a challenging dataset, ChangeSim, aimed at online scene change detection
(SCD) and more. The data is collected in photo-realistic simulation environments with the …

Change captioning is an emerging task to describe the changes between a pair of images.
The difficulty in this task is to discover the differences between the two images. Recently …

Large-scale 3D sparse maps generated by Structure-from-Motion (SfM) from images play an
important role in many applications, including visual localization, augmented reality, etc. In …

This study proposes a self-supervised method for detecting scene changes from an image
pair. For mobile cameras such as drive recorders, to alleviate the camera viewpoints' …

Scene change detection is an essential process of frame rate up-conversion (FRUC). The
performance of FRUC highly dependents on the accuracy of scene change detection. This …

Anomaly detection is critical in surveillance systems and patrol robots by identifying
anomalous regions in images for early warning. Depending on whether reference data are …

We introduce in this paper a novel active learning algorithm for satellite image change
detection. The proposed solution is interactive and based on a question and answer model …

We live in a dynamic world where things change all the time. Given two images of the same
scene, being able to automatically detect the changes in them has practical applications in a …

In this paper, we devise a novel interactive satellite image change detection algorithm based
on active learning. The proposed framework is iterative and relies on a question and answer …

In this paper, we introduce a novel interactive satellite image change detection algorithm
based on active learning. The proposed approach is iterative and asks the user (oracle) …