Results 131 to 140 of about 26,718 (222)
Patch is enough: naturalistic adversarial patch against vision-language pre-training models
Visual language pre-training (VLP) models have demonstrated significant success in various domains, but they remain vulnerable to adversarial attacks. Addressing these adversarial vulnerabilities is crucial for enhancing security in multi-modal learning.
Dehong Kong +4 more
doaj +1 more source
GaussianMix: Rethinking Receptive Field for Efficient Data Augmentation
Mixed Sample Data Augmentation (MSDA) enhances deep learning model generalization by blending a source patch into a target image. Selecting source patches based on image saliency helps to prevent label errors and irrelevant content; however, it relies on
A. F. M. Shahab Uddin +4 more
doaj +1 more source
MTCA‐Net: Multi‐Task Cascade Analysis Network for Real‐Time Sperm Quality Analysis
This article proposes MTCA‐Net, a multi‐task cascaded analysis network for real‐time sperm quality assessment in intracytoplasmic sperm injection. The framework integrates detection, tracking, and segmentation modules to jointly analyze sperm morphology and motility.
Jiajin Li +10 more
wiley +1 more source
ABSTRACT Personal autonomous vehicles can sense their surrounding environment, plan their route, and drive with little or no involvement of human drivers. Despite the latest technological advancements and the hopeful announcements made by leading entrepreneurs, to date no personal vehicle is approved for road circulation in a “fully” or “semi ...
Xingshuai Dong +13 more
wiley +1 more source
Abstract Subsea permafrost is widespread across the polar continental shelf, and mapping its distribution is crucial for assessing the possible impact of its degradation in response to global warming. While seismic techniques have been useful in determining the lateral extent of subsea permafrost in the Canadian Beaufort Sea, are limited when it comes ...
Jefferson Bustamante +2 more
wiley +1 more source
Automatic Real‐Time Ionogram Scaling Method for Global Ionosondes Using Artificial Intelligence
Abstract An ionosonde is an instrument used for local ionosphere remote sensing observations and has the longest history and widest global distribution. Ionograms observed by ionosondes, which depict the electron density profile as a function of virtual height, are critical for ionospheric modeling accuracy and space weather nowcasting.
Peng Liu +6 more
wiley +1 more source
AI‐Enabled Imaging for Pathogen Detection Under Stress Conditions: A Systematic Review
ABSTRACT Advances in pathogen detection that incorporate artificial intelligence (AI) may capture microbial signals under challenging environmental conditions that traditional methods miss. This systematic review evaluates the application, performance, and methodological characteristics of AI‐enabled imaging for pathogen detection, including its impact
MeiLi Papa +3 more
wiley +1 more source
Deep learning for high-resolution material texture enhancement in 3D environments. [PDF]
Alonso K, Patow G.
europepmc +1 more source
How the Architectural Design of the Detection Model Can Enhance the Effect of Adversarial Patches
Object detection is a central task in computer vision, with wide adoption in real-world applications such as surveillance systems, autonomous driving, healthcare monitoring, and smart devices.
Terrelle Thomas +3 more
doaj
FP-ZOO: Fast Patch-Based Zeroth Order Optimization for Black-Box Adversarial Attacks on Vision Models. [PDF]
Seo J, Jeon S.
europepmc +1 more source

