Results 81 to 90 of about 5,384 (200)

APTNet: A Condition‐Sensitive Modulation Framework for Surface Pressure Prediction on Supersonic Aircraft

CAAI Transactions on Intelligence Technology, EarlyView.
ABSTRACT Accurate surface‐pressure prediction over broad operating envelopes is critical for supersonic aerodynamic analysis and design. To overcome the bottlenecks of traditional computational fluid dynamics (CFD) in real‐time performance and computational efficiency, data‐driven deep learning methods have emerged. However, existing data‐driven models
Hongbin Xu, Yin Long, Junlin Wu
wiley   +1 more source

An Adaptive Physical-World Adversarial Patch for Remote Sensing Image Object Detection Models Considering the Structural Characteristics

IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
Remote sensing image object detection represents a typical application in the field of remote sensing image processing. Rapid advancements in artificial intelligence have established deep learning as a prevalent method for detecting critical targets ...
Xichen Xing, Xiong Xu, Qian Shi, Yanmin Jin, Chao Wang   +4 more
doaj   +1 more source

Designing defensive techniques to handle adversarial attack on deep learning based model [PDF]

PeerJ Computer Science
Adversarial attacks pose a significant challenge to deep neural networks used in image classification systems. Although deep learning has achieved impressive success in various tasks, it can easily be deceived by adversarial patches created by adding ...
Dhairya Vyas, Viral V. Kapadia
doaj   +2 more sources

Paired CycleGAN‐based virtual staining for 3D X‐ray histology of bone‐implant systems

Journal of Synchrotron Radiation, EarlyView.
This work demonstrates virtual staining for 3D X‐ray histology using a modified CycleGAN trained on paired synchrotron radiation microtomography (SR‐µCT) and histology images of bone‐implant specimens. The method enables the generation of artificially coloured contrast resembling conventional histological staining from label‐free SR‐µCT data and is ...
Sarah C. Irvine, Christian Lucas, Diana Krüger, Bianca C. Guedert, Julian Moosmann, Berit Zeller-Plumhoff   +5 more
wiley   +1 more source

Towards a Better Characterization of Adversarial Attacks in Geospatial Imagery

Remote Sensing
Manipulated satellite imagery threatens analytic workflows, policy decisions, and trust in geospatial intelligence. Operational systems increasingly benefit from capabilities for both manipulation detection and manipulation-family attribution to support ...
Veet Zaveri, Arun S. Maiya
doaj   +1 more source

One‐Class Autoencoders for Porcelain Art Attribution: The Case of William Billingsley

Archaeometry, EarlyView.
ABSTRACT This comprehensive study explores the application of advanced machine learning techniques, specifically one‐class autoencoders, for the authentication and attribution of English porcelain artworks. Focusing primarily on the works of William Billingsley (1758–1828), one of England's most celebrated porcelain decorators, we demonstrate how ...
Hassan Ugail, Morgan Denyer, Rachel Denyer, Howell Edwards   +3 more
wiley   +1 more source

CapGen:An Environment-Adaptive Generator of Adversarial Patches

CoRR
Adversarial patches, often used to provide physical stealth protection for critical assets and assess perception algorithm robustness, usually neglect the need for visual harmony with the background environment, making them easily noticeable. Moreover, existing methods primarily concentrate on improving attack performance, disregarding the intricate ...
Chaoqun Li, Zhuodong Liu, Huanqian Yan, Hang Su   +3 more
openaire   +2 more sources

VividHairEdit: Disentangled Latent Control for High‐Fidelity Hairstyle Transfer via StyleGAN2 Inversion

Computer Graphics Forum, EarlyView.
VividHairEdit is an advanced StyleGAN2 inversion system for high‐fidelity hair transfer and editing. Our system features improved structural integration, vibrant appearance representation, and optimized latent code selection, achieving superior generation quality and usability. A user‐friendly sketch interface enables precise modifications that reflect
Eunyeong Choi, Sihun Jin, Dongjoon Kim
wiley   +1 more source

Adversarial Robustness for Deep Learning-Based Wildfire Prediction Models

Fire
Rapidly growing wildfires have recently devastated societal assets, exposing a critical need for early warning systems to expedite relief efforts. Smoke detection using camera-based Deep Neural Networks (DNNs) offers a promising solution for wildfire ...
Ryo Ide, Lei Yang
doaj   +1 more source

MaX4Zero: Masked Extended Attention for Zero‐Shot Virtual Try‐On In The Wild

Computer Graphics Forum, EarlyView.
Max4Zero is a zero‐shot, training‐free virtual try‐on method that leverages diffusion priors and extended attention for accurate garment transfer. By warping reference garments and mitigating texture sticking, it achieves superior fidelity, garment preservation and identity consistency over state‐of‐the‐art methods without additional training ...
Nadav Orzech, Yotam Nitzan, Ulysse Mizrahi, Dov Danon, Amit H. Bermano   +4 more
wiley   +1 more source