Abstract: Haze obscures remote sensing images, hindering valuable information extraction. To this end, we propose RSHazeNet, an encoder-minimal and decoder-minimal framework for efficient remote ...

Abstract: To carry out cell counting, it is common to use neural network models with an encoder-decoder structure to generate regression density maps. In the encoder-decoder structure, skip ...

Google's real-time translator looks ahead and anticipates what is being said, explains Niklas Blum, Director Product ...

This is a simple Digipin encoder and decoder app made with flutter, this uses the Digipin package to encode and decode it ...

Thomson Industries Inc., a manufacturer of linear motion control solutions, upgraded its stepper motor linear actuator (SMLA) online selector tool, adding the ability to include encoders in the design ...

Large language models (LLMs) have changed the game for machine translation (MT). LLMs vary in architecture, ranging from decoder-only designs to encoder-decoder frameworks. Encoder-decoder models, ...

IRVINE, Calif.—Teradek will launch its new Prism 877 4K HEVC encoder/decoder cards at the IBC 2024, Sept. 13-16, at the RAI Amsterdam Convention Center. The cards allow users to switch between ...

Large Language Models (LLMs) have revolutionized the field of natural language processing (NLP) by demonstrating remarkable capabilities in generating human-like text, answering questions, and ...

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 ...