In a rapidly digitizing world, where facial recognition is becoming the cornerstone of identity verification, a new comprehensive survey underscores the escalating battle against spoofing attacks.
Typical generative diffusion models rely on a Gaussian diffusion process for training the backward transformations, which can then be used to generate samples from Gaussian noise. However, real world ...
In this work, we present the first systematic study on the role of different neurons in memorizing different group information, and confirm the existence of critical neurons where memorization of ...
Abstract: Semantic segmentation is crucial in image analysis but remains challenging due to performance and robustness issues. This paper introduces the Hadamard Layer, an enhancement tested in the ...
The growing reliance on video data in machine learning applications has exposed several challenges in video decoding. Extracting meaningful frames or sequences efficiently and in formats suitable for ...
Harvard University announced Thursday it’s releasing a high-quality dataset of nearly 1 million public-domain books that could be used by anyone to train large language models and other AI tools. The ...
The development of machine learning (ML) models for scientific applications has long been hindered by the lack of suitable datasets that capture the complexity and diversity of physical systems. Many ...
Abstract: The availability of publicly accessible datasets with identifiable facial images is essential for various research and development purposes. However, this wide access also underscores an ...
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