Telecom

Introduction In the realm of computer vision and deep learning, breakthroughs continue to transform image processing. A specific area where significant strides have been made is image deblurring. This article delves into a pioneering approach known as the “Dynamic Multi-scale Network with Transformer” for tackling defocus deblurring, with a particular emphasis on its application to …

Dynamic Multi-scale Network for Dual-pixel Images Defocus Deblurring with Transformer Read More »

Introduction Telecommunication systems, the backbone of modern communication networks, face myriad challenges in ensuring efficient network management, resource allocation, and overall system efficiency. In recent years, the integration of reinforcement learning (RL) has emerged as a transformative approach to overcome these challenges and revolutionize the telecommunication sector. In this article, we explore how RL is …

 Empowering the Telecommunication System with Reinforcement Learning Read More »

Introduction In the world of audio signal processing, achieving high-quality sound reproduction is a continuous pursuit. One significant challenge is extending the bandwidth of audio signals to capture richer and more detailed audio experiences. The solution to this challenge is the innovative technique known as Multi-Stage Progressive Audio Bandwidth Extension. In this article, we will …

 Multi-Stage Progressive Audio Bandwidth Extension: Enhancing Sound Quality Beyond Limits Read More »

introductory The need for adaptable and efficient multilingual technologies has never been higher in our world of growing interconnectedness. One of the most important parts of these technologies is multilingual keyword spotting, which makes it possible for voice-activated apps and systems to recognize and react to many languages. A key component in the creation and …

Using Open Custom Keyword Spotting Testsets to Promote Multilingual Communication Read More »

introductory It is essential to be able to communicate effectively across linguistic borders in our globalized society. In order to communicate ideas, conduct international commerce, and access information in languages they may not speak fluently, machine translation (MT) is the cornerstone of this linguistic bridge. Pretrained Bidirectional Distillation is one of the ground-breaking approaches that …

 Machine Translation Revolutionized by Pretrained Bidirectional Distillation Read More »

Introduction The world of machine translation is rapidly evolving, with technological advancements constantly pushing the boundaries of language processing and understanding. Samsung Electronics, a global leader in technology and innovation, has made significant strides in this field and recently showcased its award-winning machine translation solutions at the Workshop on Machine Translation (WMT). In this article, …

Samsung Electronics Showcases Award-Winning Machine Translation at WMT Read More »

introductory Finding more effective and economical architectures is a never-ending task in the rapidly changing fields of deep learning and neural networks. Innovative methods for improving the performance of various activities, like as image identification and natural language processing, are always being investigated by researchers and engineers. The idea of Short-Term Memory Convolutions (STMC) is …

Spatial and Temporal Information Bridging via Short-Term Memory Convolutions Read More »

Introduction In the world of image processing and computer vision, the task of image downsizing, also referred to as image scaling or resizing, is of paramount importance. Whether the goal is to enhance the efficiency of image-based applications, reduce storage space, or optimize bandwidth usage, the ability to downsize images without compromising their visual quality …

 Task Generalizable Spatial and Texture Aware Image Downsizing Network Read More »

Introduction In the intricate realm of speech separation, where the goal is to untangle overlapping speech signals in acoustic mixtures, traditional signal processing techniques often face significant challenges. The advent of deep learning, however, has ushered in a new era of innovative approaches, and one standout in this field is TFPSNet, which stands for Time-Frequency …

TFPSNet: Time-Frequency Domain Path Scanning Network for Speech Separation Read More »

Introduction In the realm of computer vision, where machines are trained to interpret and understand visual data, a fundamental challenge has persisted—the ability to perceive scale accurately. While computer vision has made tremendous strides in object recognition and scene understanding, estimating scale, especially in scenarios lacking reference points, remains a significant obstacle. To address this …

 Using Sound to Add Scale to Computer Vision Read More »