Several transformer-based methods for change detection (CD) in remote sensing images
have been proposed, with Siamese-based methods showing promising results due to their …

Quickly and accurately obtaining street lamp post information has great application value in
smart city construction and automatic vehicle navigation. However, the existing deep …

Landslide detection is one of the crucial tasks in geological hazard prevention and control.
Accurate detection and prediction of landslide areas contribute to taking appropriate …

Few-shot semantic segmentation (FSS) aims to locate pixels of unseen classes with clues
from a few labeled samples. Recently, thanks to profound prior knowledge, diffusion models …

Abstract In visual tracking, Convolutional Neural Network (CNN) is usually used as feature
extractor, and can fully explore local dependencies of image blocks, which is help for …

In this study, we propose a one-branch IncepTAE network to extract local and global hybrid
temporal attention simultaneously and congruously for fine-grained satellite image time …

Continuous sign language recognition (CSLR) aims to identify a sequence of glosses from a
sign language video with only a sentence-level label provided in a weakly supervised way …

Vehicle detection algorithms are integral to intelligent traffic management and AI-assisted
driving systems. However, the complexity and variability of traffic scenarios present …

Transparent objects are widely present in our daily environment. The precise semantic
segmentation of transparent objects is crucial for enhancing the perception and …

Colorectal cancer (CRC) is one of the most common and deadly forms of cancer worldwide,
necessitating accurate and early detection to improve treatment outcomes. Traditional …