IEEE

LGC-YOLO: Local-Global Feature Extraction and Coordination Network With Contextual Interaction for Remote Sensing Object Detection

Abstract: Object detection in high-resolution remote sensing image (HRRSI) faces great challenges of large-scale variations in object size, densely distributed small objects, and complex background ...
IEEE

Improved EEGNet With a Multilevel Spatial Feature Extraction Module for EEG Decoding

Abstract: In this article, a multilevel spatial feature extraction module (mSEM) is presented for electroencephalography-based brain-computer interface (EEG-BCI) tasks that are conducted according to ...
GitHub

Interpretable Bayesian Tensor Network Kernel Machines with Automatic Rank and Feature Selection

This repository contains the source code used to produce the results obtained in Interpretable Bayesian Tensor Network Kernel Machines with Automatic Rank and Feature Selection submitted to Journal of ...
Science Daily

Breakthrough optical processor lets AI compute at the speed of light

Researchers at Tsinghua University developed the Optical Feature Extraction Engine (OFE2), an optical engine that processes data at 12.5 GHz using light rather than electricity. Its integrated ...