IEEE

Evaluation of Encoder-Only Transformer for Multi-Step Traffic Flow Prediction

Abstract: Traffic flow prediction is critical for Intelligent Transportation Systems to alleviate congestion and optimize traffic management. The existing basic Encoder-Decoder Transformer model for ...
IEEE

Dual Encoder–Decoder Network for Land Cover Segmentation of Remote Sensing Image

Abstract: Although the vision transformer-based methods (ViTs) exhibit an excellent performance than convolutional neural networks (CNNs) for image recognition tasks, their pixel-level semantic ...
IEEE

A High Compression Efficiency Hardware Encoder for Intra and Inter Coding With 4K@30fps Throughput

Abstract: The promotion of the HEVC standard has significantly alleviated the burden of network transmission and video storage. However, its inherent complexity and data dependencies pose a ...
IEEE

Encoder-Decoder Contrast for Unsupervised Anomaly Detection in Medical Images

Abstract: Unsupervised anomaly detection (UAD) aims to recognize anomalous images based on the training set that contains only normal images. In medical image analysis, UAD benefits from leveraging ...
IEEE

On the Dependability of Bidirectional Encoder Representations from Transformers (BERT) to Soft Errors

Abstract: Transformers are widely used in natural language processing and computer vision, and Bidirectional Encoder Representations from Transformers (BERT) is one of the most popular pre-trained ...
GitHub

Exploring the Potential of Encoder-free Architectures in 3D LMMs

Official repository for the paper "Exploring the Potential of Encoder-free Architectures in 3D LMMs". The encoder-free 3D LMM directly utilizes a token embedding module to convert point cloud data ...
IEEE

A Multilevel Encoder–Decoder Attention Network for Change Detection in Hyperspectral Images

Abstract: Convolutional neural networks (CNNs) have attracted much attention in change detection (CD) for their superior feature learning ability. However, most of the existing CNN-based CD methods ...
IEEE

A Multi-Scale Contrast Preserving Encoder-Decoder Architecture for Local Change Detection From Thermal Video Scenes

Abstract: This article presents a new deep-learning architecture based on an encoder-decoder framework that retains contrast while performing background subtraction (BS) on thermal videos. The ...
IEEE

An Absolute Capacitive Encoder Using Sample-and-Hold Demodulator to Reduce Interference Between Sine and Cosine Channels

Abstract: This paper presents an absolute capacitive rotary encoder using a sample-and-hold demodulator (SHD) to reduce interference between sine and cosine channels. The capacitive encoder measures ...
Streaming Media Magazine

Video Tutorial: New Features in Adobe Media Encoder CC

This video tutorial demonstrates how to use and leverage 3 key new features found under the Effects tab in Adobe Media Encoder CC (which replaces the much more limited Filters tab in Adobe Media ...
IEEE

Improved Encoder-Decoder Architecture With Human-Like Perception Attention for Monaural Speech Enhancement

Abstract: Speech enhancement (SE) models based on deep neural networks (DNNs) have shown excellent denoising performance. However, mainstream SE models often have high structural complexity and large ...
IEEE

DMFNet: Dual-Encoder Multistage Feature Fusion Network for Infrared Small Target Detection

Abstract: Infrared small target detection (IRSTD) is the challenging task of identifying small targets with low signal-to-noise ratios in complex backgrounds. Traditional methods in the complex ...