Smithsonian Magazine

Computers Are Getting Much Better at Image Recognition

The machine-learning programs that underpin their ability to “see” still have blind spots—but not for much longer ...
Deep Learning with Yacine on MSN

Inception Net V1 Explained: Step-by-Step PyTorch Implementation

Learn how the Inception Net V1 architecture works and how to implement it from scratch using PyTorch. Perfect for deep ...

MicroCloud Hologram Inc. Releases Hybrid Quantum-Classical Convolutional Neural Network, Achieving New Breakthrough in MNIST Multi-Class Classification

MicroCloud Hologram Inc. (NASDAQ: HOLO), (“HOLO” or the "Company"), a technology service provider, proposed a Quantum Convolutional Neural Network (QCNN) based on hybrid quantum-classical learning and ...
C&EN

Neural Network Prediction of Micrometer-Scale Equivalent Contact Angle Mapping: From Microforce Measurements to Local Wettability Characterization

State Key Laboratory of Precision Measuring Technology and Instruments, Tianjin University, Tianjin 300072, China ...
GitHub

ESCNet:Edge-Semantic Collaborative Network for Camouflaged Object Detection

This repository is the official implementation of ESCNet:Edge-Semantic Collaborative Network for Camouflaged Object Detection For ease of use, we create a eval.sh script and a use case in the form of ...
IEEE

SOD-Net: A Small Ship Object Detection Network for SAR Images

Abstract: In ship detection using synthetic aperture radar (SAR), small targets and complex background noise remain key challenges that restrict the detection performance. In this letter, we propose a ...
IEEE

An efficient high-resolution remote sensing object detection approach using multi-level-optimized RT-DETR model

Abstract: Remote sensing images object detection (RSD) involves identifying the position and categorization of objects found in these images. Nevertheless, remote sensing images (RSI) possess ...