Deep-learning-based change detection methods have received wide attention, thanks to
their strong capability in obtaining rich features from images. However, existing AI-based …

Change detection is widely used in the field of building monitoring. In recent years, the
progress of remote sensing image technology has provided high-resolution data. However …

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 …

Change Detection (CD) in remote sensing involves identifying alterations in objects from a
pair of bi-temporal images, addressing diverse observation missions. Although existing …

Change detection (CD) identifies surface changes by analyzing bi-temporal remote sensing
(RS) images of the same region and is essential for effective urban planning, ensuring the …

Accompanied by the booming development of remote sensing (RS) imaging techniques,
change detection (CD) has emerged as a conspicuous focal point in the realm of …

Agricultural countries like India need strong change detection systems for land covers which
directly or indirectly affects the cropland. Detecting changes presents significant challenges …

Remote sensing change detection aims to compare two or more images recorded for the
same area but taken at different time stamps to quantitatively and qualitatively assess …

Change detection (CD), as a special remote-sensing (RS) segmentation task, faces
challenges, including alignment errors and illumination variation, dense small targets, and …

The well-known methods of scene extraction on video are focused on analyzing the
similarity between frames. However, they do not all analyze the composition of the image …