2

Medical image super-resolution via transformer-based hierarchical encoder–decoder network
Medical image super-resolution (SR) has emerged as an effective means to enhance the resolution of medical images. Nevertheless, many …
Cite DOI
Towards Multimodal Disinformation Detection by Vision-language Knowledge Interaction
针对行人重识别中可用行人图像不足导致的小样本问题,以双相似网络为基础,提出一种基于多尺度混合注意力与度量融合的小样本行人重识别方法.首先,将多尺度混合注意力机制引入特征嵌入模块,即在不同尺度层内的特征提取中引入空间注意力,在不同尺度层间的特征融合中引入通道注意力,实现更 …
Cite DOI
Dual-branch and triple-attention network for pan-sharpening
Pan-sharpening is a technique used to generate high-resolution multi-spectral (HRMS) images by merging high-resolution panchromatic …
Cite DOI
Recent Advances in Computer Vision: Technologies and Applications
Cite DOI
Tournament based equilibrium optimization for minimizing energy consumption on dynamic task scheduling in cloud-edge computing
With the increasing advancements in the Internet of Things (IoT) and the growing production of tasks by IoT devices, the demand for …
Cite DOI
Scale Attentive Aggregation Network for Crowd Counting and Localization in Smart City
Recent years have witnessed a remarkable proliferation of applications in smart cities. Crowd analysis is a crucial subject, and it …
Cite DOI
Optimizing Nighttime Infrared and Visible Image Fusion for Long-haul Tactile Internet
In the domain of infrared and visible image fusion, the majority of existing methods are designed for infrared and visible images with …
Cite DOI
Towards Multimodal Disinformation Detection by Vision-language Knowledge Interaction
Accurate cell counting in biomedical images is a fundamental yet challenging task for disease diagnosis. The early manual cell counting …
Cite DOI
Multi-scale large kernel convolution and hybrid attention network for remote sensing image dehazing
Remote sensing (RS) image dehazing holds significant importance in enhancing the quality and information extraction capability of RS …
Cite DOI
Object Counting via Group and Graph Attention Network
Object counting, defined as the task of accurately predicting the number of objects in static images or videos, has recently attracted …
PDF Cite DOI