Since Facebook was renamed Meta, a lot of attention, debate, and exploration have
intensified about what the Metaverse is, how it works, and the possible ways to exploit it. It is …

Current semantic segmentation methods mainly focus on modeling the context of the global
image to obtain high-quality segmentation results. However, they ignore the role of local …

Since both visible and infrared images have their own advantages and disadvantages,
RGBT tracking plays an important role in intelligent transportation systems. The key points of …

Scribble-supervised semantic segmentation presents a cost-effective training method that
utilizes annotations generated through scribbling. It is valued in attaining high performance …

Accurate and real-time monitoring of the shoreline through cameras is an invaluable
guarantee for the safety of near-shore navigation and berthing of unmanned surface …

The encoder-decoder architecture is a prevailing paradigm for semantic segmentation. It has
been discovered that aggregation of multi-stage encoder features plays a significant role in …

Aggregation of multi-stage features has been revealed to play a significant role in semantic
segmentation. Unlike previous methods employing point-wise summation or concatenation …

The intelligent identification of the shape, category, and location of X-ray stainless-steel weld
defects is one of the important links to ensure the safety and reliability of welding structures …

Despite significant progress in medical image analysis using deep learning, predicting
incidental prostate cancer (iPCa) remains challenging due to subtle differences in …

Despite encouraging results have been achieved in human pose estimation in recent years,
it remains challenging problems. When the background is similar to the human body parts …