IEEE

Progressive Spatial Information-Guided Deep Aggregation Convolutional Network for Hyperspectral Spectral Super-Resolution

Abstract: Fusion-based spectral super-resolution aims to yield a high-resolution hyperspectral image (HR-HSI) by integrating the available high-resolution multispectral image (HR-MSI) with the ...
IEEE

Efficient Communication via Self-Supervised Information Aggregation for Online and Offline Multiagent Reinforcement Learning

Abstract: Utilizing messages from teammates can improve coordination in cooperative multiagent reinforcement learning (MARL). Previous works typically combine raw messages of teammates with local ...
IEEE

ELGC-Net: Efficient Local–Global Context Aggregation for Remote Sensing Change Detection

Abstract: Deep learning has shown remarkable success in remote sensing change detection (CD), aiming to identify semantic change regions between co-registered satellite image pairs acquired at ...
IEEE

SVCA: Secure and Verifiable Chained Aggregation for Privacy-Preserving Federated Learning

Abstract: Federated learning (FL), as a distributed machine learning paradigm, enables multiple users to train machine learning models locally using individual data and then update global model in a ...
IEEE

Multithreading Heterogeneous Graph Aggregation

Abstract: Towards building online analytical services on big heterogeneous graphs, we study the problem of the multithreading graph aggregation. The purpose is to exploit the thread-level parallelism ...
IEEE

TBGA-Net: Trigonometric Bilinear Attention and Global-Aware Aggregation Network for Large-Scale 3D Point Cloud Segmentation

Abstract: The unstructured, unordered and inherent irregular sampling properties presents difficulties for accurate and efficient realizing semantic segmentation of large-scale 3D point cloud. The ...
IEEE

Cross-modality Feature Aggregation for Cross-domain Point Cloud Representation Learning

Abstract: Existing methods for learning 3D point cloud representation often use a single dataset-specific training and testing approach, leading to performance drops due to significant domain shifts ...
IEEE

Federated Aggregation With Interlayer Personalized Contribution: Preference-Based Optimization Between Performance and Privacy

Abstract: Currently, due to the different distribution of data for each user, many personalized federated learning (PFL) methods have emerged to meet the personalized needs of different users. However ...
IEEE

Multipoint-to-Point All-Optical Channel Aggregation for Coherent Passive Optical Network Using Talbot-Based Processing and Power-Division Multiplexing

Abstract: We propose a multipoint-to-point all-optical channel aggregation scheme using Talbotbased processing and power-division multiplexing, enhancing scalability of uplink traffic in a coherent ...
IEEE

A Reconstruction-Based Feature Adaptation for Anomaly Detection with Self-Supervised Multi-Scale Aggregation

Abstract: Most previous embedding-based methods for anomaly detection directly utilize the visual features extracted from pretrained CNN network. However, there usually exists a gap of domain between ...
GitHub

Java Platform Extension for Visual Studio Code

See the VS Code Tips wiki for a quick primer on getting started with VS Code. Setting up the JDK The extension requires JDK 17 or newer to run. Optionally, set a different JDK to compile and run ...