Zobrazeno 1 - 10
of 115 803
pro vyhledávání: '"A Nasser"'
Autor:
Malakshan, Sahar Rahimi, Saadabadi, Mohammad Saeed Ebrahimi, Dabouei, Ali, Nasrabadi, Nasser M.
Dataset Condensation (DC) aims to reduce deep neural networks training efforts by synthesizing a small dataset such that it will be as effective as the original large dataset. Conventionally, DC relies on a costly bi-level optimization which prohibit
Externí odkaz:
http://arxiv.org/abs/2412.04748
CLFace: A Scalable and Resource-Efficient Continual Learning Framework for Lifelong Face Recognition
An important aspect of deploying face recognition (FR) algorithms in real-world applications is their ability to learn new face identities from a continuous data stream. However, the online training of existing deep neural network-based FR algorithms
Externí odkaz:
http://arxiv.org/abs/2411.13886
Although recent diffusion-based single-step super-resolution methods achieve better performance as compared to SinSR, they are computationally complex. To improve the performance of SinSR, we investigate preserving the high-frequency detail features
Externí odkaz:
http://arxiv.org/abs/2411.13548
Behavior models form an integral component of Digital Twins. The specific characteristics of these models may vary depending on the use case. One of these key characteristics is the modeling depth. Behavior models with a lower modeling depth depict t
Externí odkaz:
http://arxiv.org/abs/2411.07883
Underground forums serve as hubs for cybercriminal activities, offering a space for anonymity and evasion of conventional online oversight. In these hidden communities, malicious actors collaborate to exchange illicit knowledge, tools, and tactics, d
Externí odkaz:
http://arxiv.org/abs/2411.05479
An integer-valued polynomial $P(x,y,z)$ is said to be universal (over $\mathbb Z$) if each nonnegative integer can be written as $P(x,y,z)$ with $x,y,z\in\mathbb Z$. In this paper, we mainly introduce a new technique to determine the universality of
Externí odkaz:
http://arxiv.org/abs/2410.14605
Images captured in hazy outdoor conditions often suffer from colour distortion, low contrast, and loss of detail, which impair high-level vision tasks. Single image dehazing is essential for applications such as autonomous driving and surveillance, w
Externí odkaz:
http://arxiv.org/abs/2410.04762
Urban environments face significant challenges due to climate change, including extreme heat, drought, and water scarcity, which impact public health, community well-being, and local economies. Effective management of these issues is crucial, particu
Externí odkaz:
http://arxiv.org/abs/2410.02335
Autor:
Nasser-Sakass, Lorraine
Publikováno v:
Mythlore, 2024 Oct 01. 431(145), 127-142.
Externí odkaz:
https://www.jstor.org/stable/48792480
Traditional industrial automation systems require specialized expertise to operate and complex reprogramming to adapt to new processes. Large language models offer the intelligence to make them more flexible and easier to use. However, LLMs' applicat
Externí odkaz:
http://arxiv.org/abs/2409.18009