Results 71 to 80 of about 7,762 (182)
Quantitative Biology, Volume 14, Issue 2, June 2026.Abstract Computed tomography (CT) images are often severely corrupted by artifacts in the presence of metals. Existing supervised metal artifact reduction (MAR) approaches suffer from performance instability on known data due to their reliance on limited paired metal‐clean data, which limits their clinical applicability. Moreover, existing unsupervised
Jie Wen +3 more
wiley +1 more source
Advanced Intelligent Systems, Volume 8, Issue 5, May 2026.Artificial intelligence (AI) is reshaping autonomous mobile robot navigation beyond classical pipelines. This review analyzes how AI techniques are integrated into core navigation tasks, including path planning and control, localization and mapping, perception, and context‐aware decision‐making. Learning‐based, probabilistic, and soft‐computing methods
Giovanna Guaragnella +5 more
wiley +1 more source
DeMeshNet: Blind Face Inpainting for Deep MeshFace Verification
CoRR, 2016 10pages, submitted to CVPR ...
Shu Zhang 0015, Ran He 0001, Tieniu Tan
openaire +2 more sources
Thermal Damage to the Skin From 5.6 GHz Microwave Exposures in Swine
Bioelectromagnetics, Volume 47, Issue 4, May 2026.ABSTRACT A study of burn thresholds from superficially penetrating radio‐frequency (RF) energy at 5.6 GHz for swine skin was conducted. The study estimated the thresholds for superficial, partial‐thickness, and full‐thickness burn severities after 20 s of exposure at power densities of 4–8 W/cm2. Biopsies were collected from each burn site at 1, 24, 72,
James E. Parker +7 more
wiley +1 more source
Research on anti-spoofing method of face recognition based on semi-supervised learning
智能科学与技术学报, 2021 It is a long-term challenge to identify the real and fake faces in the images.When the synthetic fake faces are very realistic, it is difficult for machines and even naked eyes to distinguish the real and fake ones.The supervised anti-spoofing method ...
Li LI +3 more
doaj
Robust Image Completion via Deep Feature Transformations
IEEE Access, 2019 For many practical applications, it is essential to address both geometric corrections and missing information reconstruction of face images and natural images.
Jianmin Jiang +2 more
doaj +1 more source
Face Mask Removal with Region-attentive Face Inpainting
CoRRDuring the COVID-19 pandemic, face masks have become ubiquitous in our lives. Face masks can cause some face recognition models to fail since they cover significant portion of a face. In addition, removing face masks from captured images or videos can be desirable, e.g., for better social interaction and for image/video editing and enhancement purposes.
openaire +2 more sources
AnomalyControl: Few-Shot Anomaly Generation by ControlNet Inpainting
IEEE AccessQuality inspection tasks, i.e., anomaly detection, localization and classification, face the scarcity of non-nominal images in real industrial scenarios.
Musawar Ali +3 more
doaj +1 more source
Face inpainting based on edge confrontation combined with hierarchical gated convolution
Journal of Measurement Science and InstrumentationAiming at the problems of edge blur and distortion in the current damaged face image inpainting, a two-stage hierarchical gated convolutional network(HGCN) was proposed and then combined with edge adversarial network for face image inpainting.
ZHAI Fengwen +3 more
doaj
Zhejiang Daxue xuebao. Lixue banExisting face image inpainting methods still have some problems, such as inaccurate pixel information processing, limited receptive field and high computational complexity.
YANG Sihong(杨思红) +2 more
doaj +1 more source