Hyperspectral Image (HSI) change detection is a key research topic in the field of remote sensing. Existing HSI change detection methods often overlook the potential interactions among training samples. To address thi...
详细信息
ISBN:
(纸本)9789819784929;9789819784936
Hyperspectral Image (HSI) change detection is a key research topic in the field of remote sensing. Existing HSI change detection methods often overlook the potential interactions among training samples. To address this issue, we develop a novel HSI change detection network, the Cross-Sample Slot attention-based network (CSSNet). This network, building on the slot attention mechanism, can explicitly distinguish between changed and unchanged region representations and disentangle these representations by multiple independent concepts. These concepts are instrumental in capturing the uniformity and diversity in the representations among different samples during batch processing. Furthermore, we introduced a Dual Gated Feed-forward network (DGFN) to effectively filter out redundant and irrelevant information. Experimental results on two different HSI datasets demonstrate that CSSNet outperforms several existing mainstream methods in performance.
This paper aims to understand the nexus between academic context and student well-being. It provides an overview of the prevalence of mental health problems among students and the ways in which these issues can impact...
详细信息
This paper proposes a pig image classification model based on convolutional neural network (CNN), named Pig Image Recognition Model (PIRM). The model uses regional suggestion network (RPN) to generate candidate region...
详细信息
Diabetes represents a significant global health challenge, with millions of individuals affected and substantial impacts on healthcare systems. In this study, we compare two neural network architectures for diabetes p...
详细信息
Early and accurate detection of breast cancer, particularly Invasive Ductal Carcinoma (IDC), is critical for improving patient outcomes. Traditional diagnostic methods like histopathology and mammography have limitati...
详细信息
With the increase of computing-intensive and delay-sensitive applications, mobile edge computing (MEC) technology has sprung up. It effectively satisfies the needs of user equipment (UE) for real-time computing resour...
详细信息
With the continuous improvement of people’s living standards in recent years, home intelligence has become a trend. However, traditional locks are easier to pry open or forcibly open due to their structure, resulting...
详细信息
Metal implants in patients cause severe streaking artifacts in computed tomography (CT) images, significantly compromising image quality. Deep learning methods have been successfully applied to metal artifact reductio...
详细信息
Most attention-embedded networks fall short in effectively integrating spatial/channel-wise information across diverse scales, leading to suboptimal performance for coronary vessels segmentation in X-ray digital subtr...
详细信息
A quantum secret sharing (QSS) scheme with single photons was proposed, the trusted third party (TTP) encoded the secret value into conjugate single quantum states, in the revealing phase each participant performs the...
详细信息
暂无评论