Vision transformers have been successfully applied to image recognition tasks due to their ability to capture long-range dependencies within an image. However, they still suffer from weak local feature extraction, easy loss of channel interaction ...

• This paper designs a fine-grained local feature extraction module LFE.
• This paper designs a lightweight parameter sharing attention mechanism EPSA.
• A new lightweight hybrid architecture EPSViTs is built based on the LFE and EPSA.

Hybrid volumetric medical image segmentation models, combining the advantages of local convolution and global attention, have recently received considerable attention. While mainly focusing on architectural modifications, most existing hybrid ...

• We propose a learnable weight initialization method that can be integrated into any hybrid volumetric medical segmentation model to effectively train small-scale datasets.
• To learn such a weight initialization, we propose data-...

With the increasing development of SSD (Solid-State Drives) technology, SSD RAID (Redundant Arrays of Independent Disks) has been widely deployed in enterprise data centers. However, the inherent write endurance issue of SSD seriously affects the ...

Person search is a computer vision task that aims to locate and re-identify specific pedestrians in images captured by non-overlapping cameras. However, the identity annotation in person search is labor-intensive, especially as the amount of data ...

Display Omitted

• An effective hybrid model for weakly supervised person search task.
• Transformer-based feature extraction and fully convolutional context-enhanced head.
• A pedestrian proposal network for weakly supervised person search.

Women all over the world have been battling breast cancer with an extremely high mortality rate. Early and timely detection is essential to increase the efficiency of treatment and further prognosis. Breast cancer is diagnosed primarily by a ...

Infrared video colorization can significantly improve perceptual quality by predicting reasonable colors and restoring vivid details, especially in harsh environments. However, as an inconspicuous computer vision task, there is no specialized ...

• To the best of our knowledge, CPNet is the first study which dedicated to infrared video colorization and will attract more researchers’ attention to this field.
• Extensive experimental results verify that CPNet not only demonstrates ...

Abstract-Achieving high solution efficiency on conventional sequential computation architecture is a challenging task due to penetration of multiple renewable energy sources (RESs). This challenge has become the bottleneck for the application in ...$$$$$$

• A new proposition of hybrid architecture for breast cancer detection,
• Diagnosis for cancer detection without the need for region of interest (ROI) information,
• Breast cancer diagnosis with high classification accuracy,
• The ...

In this study, mammography images are classified as normal, benign, and malignant using the Mammographic Image Analysis Society (MIAS) and INbreast datasets. After the preprocessing of each image, the processed images are given as input to two ...

Hybrid analog/digital multiple input multiple output (MIMO) system is proposed to mitigate the challenges of millimeter wave (mmWave) communication. This architecture enables utilizing the large array gain with reasonable power consumption. ...

In the present paper we propose a hybrid recommender system dealing with implicit feedbacks in the domain of fashion retail. The proposed architecture is based on a collaborative-filtering module taking into account the fact that users feedbacks ...

Abdominal organ segmentation has many important clinical applications, such as organ quantification, surgical planning, and disease diagnosis. However, manually annotating organs from CT scans is time-consuming and labor-intensive. Semi-supervised ...

The success of Transformer in computer vision has attracted increasing attention in the medical imaging community. Especially for medical image segmentation, many excellent hybrid architectures based on convolutional neural networks (CNNs) and ...

Context provides additional information to determine the actual emotional state of a person as part of a scene. Existing works on emotion recognition in context focused only on the features extracted from the entire image and the ...

The increasing frequency of skin tumour across the globe and their timely diagnosis is one of the most promising research directions in the healthcare domain. The most important cause behind the skin cancer mortalities is delayed detection. Early ...

Facial expression is an important aspect to recognize emotions between humans. However, this task remains difficult for machines. Several approaches have been developed aiming at strengthening the machine and endowing it, with the ability to ...

Diagnosis of breast cancer in the early stages allows to significantly decrease the mortality rate by allowing to choose the adequate treatment. This paper develops and evaluates twenty-eight hybrid architectures combining seven recent deep ...

Numerical simulation of wildland fire spread is useful to predict the locations that are likely to burn and to support decision in an operational context, notably for crisis situations and long-term planning. For short-term, the ...

• Wildfires lasting one hour are simulated in a wide range of environmental conditions.

Incidents of hydraulic or oil spills in the oceans/seas or ports occur with some regularity during the exploitation, production and transportation of petroleum products. Immediate, safe, effective and environmentally friendly measures must be ...

Biomedical event extraction is one of the fundamental tasks in medical research and disease prevention. Event trigger usually signifies the occurrence of a biomedical event by adopting a word or a phrase. Meanwhile, the task of ...

The growth of ubiquitous and pervasive computing is largely derived from the contribution of Wireless Sensor Network (WSN) in several fields such as medicine, surveillance, computing etc. Optimization and load balancing in hybrid architecture is a ...