We propose an encoder-decoder for open-vocabulary semantic segmentation comprising a hierarchical encoder-based cost map generation and a gradual fusion decoder. We introduce a category early ...

Abstract: Three-valued logic offers potential advantages over binary logic, including faster computation, smaller chip size and reduced interconnects that leading to lower complexity, higher speed and ...

Abstract: In this paper, to accomplish this work builds a HC decoder and encoder circuit for impeccable reception and transmitting data communication digitally based on GDI(gate diffusion input) logic ...

CNNs are specialized deep neural networks for processing data with a grid-like topology, such as images. A CNN automatically detects the important features without any human supervision. They are ...

What Is An Encoder-Decoder Architecture? An encoder-decoder architecture is a powerful tool used in machine learning, specifically for tasks involving sequences like text or speech. It’s like a ...

The combinational circuit that changes the binary information into 2N output lines is known as Decoders. The binary information is passed in the form of N input lines. The output lines define the ...

Semantic segmentation of mitochondria from electron microscopy (EM) images is an essential step to obtain reliable morphological statistics about mitochondria. However, automatically delineating ...