In recent years, RGB-T salient object detection (SOD) has attracted continuous attention,
which makes it possible to identify salient objects in environments such as low light by …

Fully-supervised salient object detection (SOD) methods have made great progress, but
such methods often rely on a large number of pixel-level annotations, which are time …

The coronavirus disease 2019 (COVID-19) continues to have a negative impact on
healthcare systems around the world, though the vaccines have been developed and …

For the video salient object detection (VSOD) task, how to excavate the information from the
appearance modality and the motion modality has always been a topic of great concern. The …

Recently, Transformer-based methods have shown impressive performance in single image
super-resolution (SISR) tasks due to the ability of global feature extraction. However, the …

Recently, vision transformers have demonstrated their superiority against convolutional
neural networks (ConvNet) in various tasks including single-image super-resolution (SISR) …

Although deep learning-based object detection methods have achieved superior
performance on conventional benchmark datasets, it is still difficult to detect objects from low …

Single-image super-resolution (SISR) has experienced vigorous growth with the rapid
development of deep learning. However, handling arbitrary scales (eg, integers, non …

Recent image manipulation detection approaches primarily rely on sophisticated
Convolutional Neural Network (CNN)-based models for region localization, while they tend …

Abstract Diffusion-based Video Super-Resolution (VSR) is renowned for generating
perceptually realistic videos, yet it grapples with maintaining detail consistency across …