Abstract: Anomaly detection (AD) is a critical task in manufacturing inspection. Reconstructive AD methods restore the normal appearance of an object, ideally modifying only the anomalous regions.

Abstract: Efficient compression of sparse point cloud geometry remains a critical challenge in 3D content processing, particularly for low-rate scenarios where conventional codecs struggle to maintain ...

Huzhou Key Laboratory of Intelligent Sensing and Optimal Control for Industrial Systems, School of Engineering, Huzhou University, Huzhou 313000, PR China Zhejiang Key Laboratory of Industrial Solid ...

MathWorks, a leading developer of mathematical simulation and computing software, revealed that a ransomware gang stole the data of over 10,000 people after breaching its network in April. The company ...

MathWorks, a leading developer of mathematical computing and simulation software, has revealed that a recent ransomware attack is behind an ongoing service outage. Headquartered in Natick, ...

MathWorks, a mathematical computing software company headquartered in Natick, Mass., disclosed a ransomware attack in an update to its website on Monday. MathWorks is known for creating the MATLAB ...

Thanks for your great work with MAISI. The mask_generation_autoencoder has 8 input channels. What is the kind of data that is required as input? Would you have an example on how to use the mask ...

Sparse autoencoders are central tools in analyzing how large language models function internally. Translating complex internal states into interpretable components allows researchers to break down ...

I have a question regarding the pretrained weight file autoencoder_vq_f4.pth provided in the ResShift repository. Was this autoencoder trained separately and specifically for the ResShift experiments, ...

Department of Cellular and Molecular Anatomy, Hamamatsu University School of Medicine, Hamamatsu, Shizuoka 431-3192, Japan Department of Cellular and Molecular Anatomy, Hamamatsu University School of ...