In this paper, we propose a triple intersecting U-Nets (TIU-Nets) for brain glioma
segmentation. First, the proposed TIU-Nets is composed of binary-class segmentation U-Net …

In this paper, we identify and address a serious design bias of existing salient object
detection (SOD) datasets, which unrealistically assume that each image should contain at …

Psoriasis is a chronic skin disease which affects hundreds of millions of people around the
world. This disease cannot be fully cured and requires lifelong caring. If the deterioration of …

Salient object detection simulates the attention mechanism of human behavior to grasp the
most attractive objects in the images. Recently edge information has been introduced to …

Multilevel feature fusion plays a pivotal role in salient object detection (SOD). High-level
features present rich semantic information but lack object position information, whereas low …

Human attention is an interactive activity between our visual system and our brain, using
both low-level visual stimulus and high-level semantic information. Previous image salient …

Recently salient object detection with convolutional neural networks has made great
progress. More and more methods design more complex networks to integrate the features …

Salient object detection has received increasingly more attention and achieved significant
progress lately due to the powerful features learned by deep convolutional neural networks …

Salient object detection aims at locating the most conspicuous objects in natural images,
which usually acts as a very important pre-processing procedure in many computer vision …

Salient object detection is a critical task in the field of computer vision. However, existing
detection methods still face certain challenges, such as the inability to effectively integrate …