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Image-based Pose-Agnostic 3D Anomaly Detection is an important task that has emerged in industrial quality control. This task seeks to find anomalies from query images of a tested object given a set of reference images of an anomaly-free object. The
Externí odkaz:
http://arxiv.org/abs/2410.12080
With the rise in popularity of portable devices, the spread of falsified media on social platforms has become rampant. This necessitates the timely identification of authentic content. However, most advanced detection methods are computationally heav
Externí odkaz:
http://arxiv.org/abs/2408.16582
Autor:
Hu, Ming, Yan, Siyuan, Xia, Peng, Tang, Feilong, Li, Wenxue, Duan, Peibo, Zhang, Lin, Ge, Zongyuan
Deep learning-based diagnostic systems have demonstrated potential in skin disease diagnosis. However, their performance can easily degrade on test domains due to distribution shifts caused by input-level corruptions, such as imaging equipment variab
Externí odkaz:
http://arxiv.org/abs/2405.11289
Intensified underwater activities have driven the escalating demand for reliable, flexible, and high data-rate underwater communication links. Optical wireless communication (OWC) emerges as the most promising technology for short- to medium-range co
Externí odkaz:
http://arxiv.org/abs/2404.15334
Image segmentation is one of the most fundamental problems in computer vision and has drawn a lot of attentions due to its vast applications in image understanding and autonomous driving. However, designing effective and efficient segmentation neural
Externí odkaz:
http://arxiv.org/abs/2403.10413
Akademický článek
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Akademický článek
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Recently, many algorithms have employed image-adaptive lookup tables (LUTs) to achieve real-time image enhancement. Nonetheless, a prevailing trend among existing methods has been the employment of linear combinations of basic LUTs to formulate image
Externí odkaz:
http://arxiv.org/abs/2401.01569
Publikováno v:
Traitement du Signal. Jun2023, Vol. 40 Issue 3, p995-1003. 9p.
