Results 91 to 100 of about 5,384 (200)
Adversarial camouflage for mobile targets against battlefield optical and infrared AI detection
Modern battlefield perception systems, which rely on multi-modal target detection technologies such as optical and infrared sensing, pose a serious threat to the survivability of large mobile assets.
Shenghui Li, Bentian Hao
doaj +1 more source
Adaptive Rotation-Scaling Ensemble Patch Attack for Ship Detection in Remote Sensing Images
Existing adversarial patch generation methods for remote sensing ship detection suffer from several limitations, including insufficient adaptability to patch size, inability to handle orientation variations of rotated ships, and poor transferability of ...
Qi Wang +5 more
doaj +1 more source
Terrain Synthesis and Authoring based on Iso‐Contours
Abstract Digital terrains are central to realistic landscape depiction, yet authoring tools must balance perceptual realism with intuitive artistic control. We propose a compact vector‐based representation that models terrain as nested iso‐contours, inspired by geomorphology and cartography.
B. Huftier +5 more
wiley +1 more source
Authoring Terrestrial Planets with Diffusion Models
Abstract To support the design and subsequent generation of terrestrial planets for use in the creative media, we propose a solution that employs a generative model trained on satellite data from planetary bodies with a defined solid surface, such as the Earth and Mars.
Oliver Borg +6 more
wiley +1 more source
Towards an End-to-End (E2E) Adversarial Learning and Application in the Physical World
The traditional process for learning patch-based adversarial attacks, conducted in the digital domain and later applied in the physical domain (e.g., via printed stickers), may suffer reduced performance due to adversarial patches’ limited ...
Dudi Biton +5 more
doaj +1 more source
Visualizing Image Segmentation Network Behavior Through the Lens of Scale Space Analysis
Abstract Deep neural networks are widely used for image segmentation, also in sensitive applications such as medical imaging or autonomous driving. However, few explainable AI methods are available that help developers understand such networks beyond classification.
A. C. Mikliss, T. Schultz
wiley +1 more source
FaceIt: Real‐Time On‐Device Identity‐Preserving Portrait Animation
A real‐time, on‐device algorithm for animating a single portrait image using detailed facial expressions and motions from a driving video achieving visual quality that can outperform even techniques with significantly higher computational overhead. Abstract Recently, significant progress has been made in generating expressive and temporally coherent ...
M. Dvorožňák +7 more
wiley +1 more source
Textile and colour defect detection using deep learning methods
Abstract Recent advances in deep learning (DL) have significantly enhanced the detection of textile and colour defects. This review focuses specifically on the application of DL‐based methods for defect detection in textile and coloration processes, with an emphasis on object detection and related computer vision (CV) tasks.
Hao Cui +2 more
wiley +1 more source
Robust Object Detection Under Adversarial Patch Attacks in Vision-Based Navigation
In vision-guided autonomous robots, object detectors play a crucial role in perceiving the environment for path planning and decision-making. However, adaptive adversarial patch attacks undermine the resilience of detector-based systems.
Haotian Gu +2 more
doaj +1 more source
Abstract This article explores the complexity of interorganizational relationships in social entrepreneurship. Although existing research has deepened our understanding of collaboration, there remains a need to examine the broader range of relationships social entrepreneurs navigate in practice. To address this issue, we adopt an ecosystem perspective,
Wiebke Heinze, Jarrod Ormiston
wiley +1 more source

