The core innovation lies in replacing the traditional DETR backbone with ConvNeXt, a convolutional neural network inspired by ...

In order to address these challenges, we propose a convolutional encoder-decoder model with deep learning for document image binarization in this paper. In the proposed method, mid-level document ...

In this paper, an efficient deep convolutional encoder-decoder network framework is proposed to remove the noise from ECG signal, which is termed as `DeepCEDNet'. This network is able to learn a ...

Inspired by the global learning strategies of FPGA [50] and SSDGL [51], we propose a novel GLNet for high-dimensional image classification, as shown in Figure 1, which utilizes a fully convolutional ...

April 21, 2022-- Xylon has just revealed two new IP products for lossless and on-the-fly MJPEG video compression and decompression. New logiJPGE-LS and logiJPGD-LS IP cores from the logicBRICKS by ...

A vision encoder is a necessary component for allowing many leading LLMs to be able to work with images uploaded by users.

This article examines recent data on compression efficiency and data usage for hardware and software decoding and explores how this data shapes the value proposition for publishers opting for software ...

TICO compression is new patent-pending visually lossless light compression specifically designed for the industry. This revolutionary technology is extremely tiny in hardware (FPGA, ASIC) , fast and ...

which seeks to use crowdsourcing to decode unopened scrolls. Launched in 2023, the challenge invites participants to use AI tools—such as convolutional neural networks and transformer models ...