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

Rethinking Encoder-Decoder Flow Through Shared Structures

Abstract: Dense prediction tasks have enjoyed a growing complexity of encoder architectures, decoders, however, have remained largely the same. They rely on individual blocks decoding intermediate ...
IEEE

Dual-Encoder VAE-GAN With Spatiotemporal Features for Emotional EEG Data Augmentation

Abstract: The current data scarcity problem in EEG-based emotion recognition tasks leads to difficulty in building high-precision models using existing deep learning methods. To tackle this problem, a ...
IEEE

Implementation of Dual Three-Phase Linear Hall Sensor-Based Embedded Magnetic Encoder in Permanent Magnet Synchronous Motors

Abstract: Normally, three-phase linear Hall sensor-based embedded magnetic encoder (EME) are used in permanent magnet synchronous motors to detect the rotor angle, in which prefilters are used to ...
IEEE

Multi-Modal Sleep Stage Classification With Two-Stream Encoder-Decoder

Abstract: Sleep staging serves as a fundamental assessment for sleep quality measurement and sleep disorder diagnosis. Although current deep learning approaches have successfully integrated multimodal ...
GitHub

Bi-encoder Entity Linking Architecture (BELA)

The end to end transformer based model for entity linking in 98 languages. The BELA architecture is described in the following paper: Multilingual End to End Entity Linking.
IEEE

DHE-Net: Dual-Encoder Hierarchical Network for Real-World Low-Cost LiDAR Point Cloud Denoising

Abstract: Light detection and ranging (LiDAR) point cloud denoising is critical for reliable environmental perception in autonomous driving and robotics. To overcome the lack of real-noise datasets ...
IEEE

SPGformer: Serial–Parallel Hybrid GCN-Transformer With Graph-Oriented Encoder for 2-D-to-3-D Human Pose Estimation

Abstract: Accurate acquisition of 3-D human joint poses holds significant implications for tasks such as human action recognition. Monocular single-frame 2-D -to-3-D pose estimation focuses on ...
IEEE

Accurate and Efficient Event-Based Semantic Segmentation Using Adaptive Spiking Encoder–Decoder Network

Abstract: Spiking neural networks (SNNs), known for their low-power, event-driven computation, and intrinsic temporal dynamics, are emerging as promising solutions for processing dynamic, asynchronous ...
IEEE

GCN-Based Encoder-Decoder Networks With Markov Random Field for Unsupervised Community Detection

Abstract: Community discovery is an essential research area with significant real-world applications. Lately, Graph Convolutional Networks (GCNs) have gained popularity for their ability to ...
IEEE

Implementing the Fast Full-Wave Electromagnetic Forward Solver Using the Deep Convolutional Encoder-Decoder Architecture

Abstract: In this communication, a novel deep learning (DL)-based solver is proposed for the electromagnetic forward (EMF) process. It is based on the complex-valued deep convolutional neural networks ...