SimpleConvolution is the most important and time-consuming part of convolutional neural networks (CNN) for image processing. Each slide of the window in two-dimensional convolution will cause repeated ...
In this paper, we tackle the high computational overhead of transformers for lightweight image super-resolution. (SR). Motivated by the observations of self-attention's inter-layer repetition, we ...
ABSTRACT: In a context where traditional medicine occupies an important place in Côte d’Ivoire, the reliable identification of active compounds from medicinal plants is becoming essential. This thesis ...
ABSTRACT: In a context where traditional medicine occupies an important place in Côte d’Ivoire, the reliable identification of active compounds from medicinal plants is becoming essential. This thesis ...
MicroCloud Hologram Inc. (NASDAQ: HOLO), (“HOLO” or the “Company”), a technology service provider, released learnable quantum spectral filter technology for hybrid graph neural networks. This ...
Abstract: Optimizing convolution operations is critical for enhancing the performance of convolutional neural networks (CNNs). The Winograd convolution algorithm, renowned for its significant ...
Most platforms give you some control over what appears in your recommendations and ‘for you’ feeds. Most platforms give you some control over what appears in your recommendations and ‘for you’ feeds ...
Google launched four official and confirmed algorithmic updates in 2025, three core updates and one spam update. This is in comparison to last year, in 2024, where we had seven confirmed updates, then ...
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