Skin lesion segmentation is an indispensable step in the diagnostic process of skin
diseases. Using deep learning networks for skin lesion segmentation can enhance the work …

The stitched images produced by multicamera systems often suffer from unnatural seams
and poor color consistency, which seriously impact the accuracy of post-processing and …

The rapid expansion of digital media has sparked significant concerns regarding the swift
dissemination and potential misuse of forged video content. Existing forgery detection …

Digitization through the Internet of Things (IoT) is a key measure for preserving ancient
books. As a crucial aspect of digitization, text detection plays an essential role in the …

Abstract Three-dimensional (3D) occupancy perception technology aims to enable
autonomous vehicles to observe and understand dense 3D environments. Estimating the …

Background and Objective Current tongue segmentation methods often struggle with
extracting global features and performing selective filtering, particularly in complex …

Liver cirrhosis is one of the most common liver diseases in the world, posing a threat to
people's daily lives. In advanced stages, cirrhosis can lead to severe symptoms and …

Deep feature reconstruction (DFR) as an unsupervised surface defect detection framework,
first combined the idea of feature embedding with reconstruction. However, it concatenated …

It is significant for harbor management and ship safety to obtain more precise location and
shape information from ship instance segmentation. Ships often encounter mutual occlusion …

Polyp segmentation is a challenging task, as some polyps exhibit similar textures to
surrounding tissues, making them difficult to distinguish. Therefore, we present a parallel …