Two years ago, a Canadian writer named Cory Doctorow coined the phrase "enshittification" to describe the decay of online platforms. The word immediately set the Internet ablaze, as it captured the ...

U-Net and its variants have been widely used in the field of image segmentation. In this paper, a lightweight multi-scale Ghost U-Net (MSGU-Net) network architecture is proposed. This can efficiently ...

This program reads a 3 x 3 kernel and then performs convolution. The first set can handle arbitrary input sizes, whereas the second set is limited to a fixed input size of 4 x 5.

The rapid growth of large language models (LLMs) and their increasing computational requirements have prompted a pressing need for optimized solutions to manage memory usage and inference speed. As ...

Hi, Ali, I have been looking forward to implementing Attenion like Convolution. NATTEN is a very nice implementation. Naive PyTorch implementation, using operators like Unfold, ReplicationPad, is ...

Abstract: Convolution serves as a foundational component enabling Deep Neural Networks (DNN) to extract meaningful features from input data. This paper focuses on the real-time architecture of a ...