IEEE

Image Captioning Using Vision Encoder Decoder Model

Abstract: This paper introduces a groundbreaking enhancement to image captioning through a unique approach that harnesses the combined power of the Vision Encoder-Decoder model. By leveraging the Swin ...
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 ...
IEEE

Adaptive Encoder-Decoder Model Considering Spatio-Temporal Features for Short-Term Power Prediction of Distributed Photovoltaic Station

Abstract: Considering the impact of operation and maintenance costs and technology, there is generally a lack of sufficient meteorological observation devices within the distributed photovoltaic (PV) ...
IEEE

SynSem-ASTE: An Enhanced Multi-Encoder Network for Aspect Sentiment Triplet Extraction With Syntax and Semantics

Abstract: Aspect Sentiment Triplet Extraction (ASTE) is an essential task in fine-grained opinion mining and sentiment analysis that involves extracting triplets consisting of aspect terms, opinion ...
IEEE

Lite DETR : An Interleaved Multi-Scale Encoder for Efficient DETR

Abstract: Recent DEtection TRansformer-based (DETR) models have obtained remarkable performance. Its success cannot be achieved without the re-introduction of multi-scale feature fusion in the encoder ...
IEEE

FPGA IP Core for DC Motor Control With Adaptive Neural Network PID Tuning, and High-Resolution Encoder Interface

Abstract: Traditional proportional integral derivative (PID) falls short for precise control of DC motor speed under changing conditions. This paper presents a novel FPGA based IP (intellectual ...
IEEE

An Optimized Model With Encoder-Decoder ConvLSTM for Global Ionospheric Forecasting

Abstract: The ionosphere is vital for satellite navigation and radio communication, but observational limitations necessitate ionospheric forecasting. The least squares collocation (LSC) method is ...
IEEE

Exchanging Dual-Encoder–Decoder: A New Strategy for Change Detection With Semantic Guidance and Spatial Localization

Abstract: Change detection is a critical task in earth observation applications. Recently, deep-learning-based methods have shown promising performance and are quickly adopted in change detection.
IEEE

SED++: A Simple Encoder-Decoder for Improved Open-Vocabulary Semantic Segmentation

Abstract: Open-vocabulary semantic segmentation aims to partition an image into distinct semantic regions based on an open set of categories. Existing approaches primarily rely on image-level ...
IEEE

MPCT: Multiscale Point Cloud Transformer With a Residual Network

Abstract: The self-attention (SA) network revisits the essence of data and has achieved remarkable results in text processing and image analysis. SA is conceptualized as a set operator that is ...
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

Wav2Seq: Pre-Training Speech-to-Text Encoder-Decoder Models Using Pseudo Languages

Abstract: We introduce Wav2Seq, the first self-supervised approach to pre-train both parts of encoder-decoder models for speech data. We induce a pseudo language as a compact discrete representation, ...