Segment anything model (SAM), an eminent universal image segmentation mo...
Transformers have been extensively studied in medical image segmentation...
We study the budget allocation problem in online marketing campaigns tha...
Since 2021, China has deployed more than 2.1 million 5G base stations to...
Federated noisy label learning (FNLL) is emerging as a promising tool fo...
We propose a physically-motivated deep learning framework to solve a gen...
Data scarcity and heterogeneity pose significant performance challenges ...
In this study, we present a wireless (non-contact) gesture recognition m...
Convolutional neural networks have achieved excellent results in compres...
This paper studies the event-triggered distributed fusion estimation pro...
Vision transformers have recently set off a new wave in the field of med...
Convolutional neural networks (CNN), the most prevailing architecture fo...
Federated learning (FL), enabling different medical institutions or clie...
Detecting and evaluating surface coating defects is important for marine...
Many payment platforms hold large-scale marketing campaigns, which alloc...
Image-text matching is an important multi-modal task with massive
applic...
Machine learning with deep neural networks (DNNs) has become one of the
...
A software vulnerability could be exploited without any visible symptoms...
Facial expression recognition from videos in the wild is a challenging t...
Quantum homomorphic encryption (QHE) is an encryption method that allows...
In classical two-party computation, a trusted initializer who prepares
c...
In classical two-party computation, a trusted initializer who prepares
c...
In applications of clinical trials, tested hypotheses are often grouped ...
Quantum homomorphic encryption (QHE) is an encryption method that allows...
Quantum homomorphic encryption (QHE) is an encryption method that allows...
High efficiency video coding (HEVC) suffers high encoding computational
...
Mobile edge caching enables content delivery within the radio access net...