Unified one-step multi-view spectral clustering
Multi-view spectral clustering, which exploits the complementary information among graphs
of diverse views to obtain superior clustering results, has attracted intensive attention …
of diverse views to obtain superior clustering results, has attracted intensive attention …
Improved breast cancer classification through combining graph convolutional network and convolutional neural network
Aim In a pilot study to improve detection of malignant lesions in breast mammograms, we
aimed to develop a new method called BDR-CNN-GCN, combining two advanced neural …
aimed to develop a new method called BDR-CNN-GCN, combining two advanced neural …
A survey of crowd counting and density estimation based on convolutional neural network
Crowd counting and crowd density estimation methods are of great significance in the field
of public security. Estimating crowd density and counting from single image or video frame …
of public security. Estimating crowd density and counting from single image or video frame …
Modality-invariant asymmetric networks for cross-modal hashing
Cross-modal hashing has garnered considerable attention and gained great success in
many cross-media similarity search applications due to its prominent computational …
many cross-media similarity search applications due to its prominent computational …
Dual-path rare content enhancement network for image and text matching
Y Wang, Y Su, W Li, J Xiao, X Li… - IEEE Transactions on …, 2023 - ieeexplore.ieee.org
Image and text matching plays a crucial role in bridging the cross-modal gap between vision
and language, and has achieved great progress due to the deep learning. However, the …
and language, and has achieved great progress due to the deep learning. However, the …
CGNet: A graph-knowledge embedded convolutional neural network for detection of pneumonia
Pneumonia is a global disease that causes high children mortality. The situation has even
been worsening by the outbreak of the new coronavirus named COVID-19, which has killed …
been worsening by the outbreak of the new coronavirus named COVID-19, which has killed …
RGBT tracking by trident fusion network
In recent years, RGBT tracking has become a hot topic in the field of visual tracking, and
made great progress. In this paper, we propose a novel Trident Fusion Network (TFNet) to …
made great progress. In this paper, we propose a novel Trident Fusion Network (TFNet) to …
Prototype-supervised adversarial network for targeted attack of deep hashing
Due to its powerful capability of representation learning and high-efficiency computation,
deep hashing has made significant progress in large-scale image retrieval. However, deep …
deep hashing has made significant progress in large-scale image retrieval. However, deep …
Multi-label chest X-ray image classification via semantic similarity graph embedding
Automated multi-label chest X-ray (CXR) image classification has recently made significant
progress in clinical diagnosis based on the advanced deep learning techniques. However …
progress in clinical diagnosis based on the advanced deep learning techniques. However …
Graph convolutional network with sample and feature weights for Alzheimer's disease diagnosis
Either traditional learning methods or deep learning methods have been widely applied for
the early Alzheimer's disease (AD) diagnosis, but these methods often suffer from the issue …
the early Alzheimer's disease (AD) diagnosis, but these methods often suffer from the issue …