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 ...

This project implements a convolutional autoencoder for image denoising using ... sigmoid activation, same padding) The decoder reconstructs the image from the 7×7×32 compressed representation back to ...

March 11, 2021 -- Allegro DVT, the leading provider of video processing silicon IPs, today announced the release of new versions of its D3x0 and E2x0 decoder and encoder IPs with extended of sample ...

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 ...

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