IEEE

Efficient Semantic Segmentation of Transmission Line Corridor Point Clouds via Transformer With Vector Aggregation

Abstract: Ensuring precise segmentation of point clouds is essential for intelligent inspection in transmission line corridors. The massive scale, unordered distribution, and complex structures of ...
IEEE

PointNAT: Large-Scale Point Cloud Semantic Segmentation via Neighbor Aggregation With Transformer

Abstract: Given the prominence of 3-D sensors in recent years, 3-D point clouds are worthy to be further investigated for environment perception and scene understanding. Learning accurate local and ...
IEEE

A Filterless Design with Point-to-multipoint Transceivers for Cost-Effective and Challenging Metro/Regional Aggregation Topologies

Abstract: Point-to-multipoint (P2MP) optical coherent transceivers, which take advantage of digital subcarrier multiplexing, can greatly simplify design, planning and operations in next-generation ...
IEEE

Local Evidence Aggregation for Regression-Based Facial Point Detection

Abstract: We propose a new algorithm to detect facial points in frontal and near-frontal face images. It combines a regression-based approach with a probabilistic graphical model-based face shape ...
IEEE

Elastic Aggregation for Federated Optimization

Abstract: Federated learning enables the privacy-preserving training of neural network models using real-world data across distributed clients. FedAvg has become the preferred optimizer for federated ...
IEEE

A Flexible and Scalable Malicious Secure Aggregation Protocol for Federated Learning

Abstract: Secure aggregation becomes a major solution to providing privacy for federated learning. Secure aggregation for mobile devices typically relies on Shamir secret sharing (SSS) to achieve ...
IEEE

Domain Generalization via Aggregation and Separation for Audio Deepfake Detection

Abstract: In this paper, we propose an Aggregation and Separation Domain Generalization (ASDG) method for Audio DeepFake Detection (ADD). Fake speech generated from different methods exhibits varied ...
IEEE

An Aggregation-Free Federated Learning for Tackling Data Heterogeneity

Abstract: The performance of Federated Learning (FL) hinges on the effectiveness of utilizing knowledge from distributed datasets. Traditional FL methods adopt an aggregate-then-adapt framework, where ...
IEEE

Layer-wised Model Aggregation for Personalized Federated Learning

Abstract: Personalized Federated Learning (pFL) not only can capture the common priors from broad range of distributed data, but also support customized models for heterogeneous clients. Researches ...
IEEE

3D point cloud robust sampling method based on aggregation rate

Abstract: Effective sampling plays a critical role in the preprocessing of 3D point cloud data, directly impacting the performance of downstream models. Traditional Farthest Point Sampling (FPS) ...
IEEE

Dual Aggregation Transformer for Image Super-Resolution

Abstract: Transformer has recently gained considerable popularity in low-level vision tasks, including image super-resolution (SR). These networks utilize self-attention along different dimensions, ...