Data Augmentation

CrossFuse: A Method for Infrared and Visible Light Image Fusion Based on Cross-Sensor Visual Alignment

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CrossFuse: A Method for Infrared and Visible Light Image Fusion Based on Cross-Sensor Visual Alignment

Click the blue text above to follow, and remember to subscribe 🌟 Paper link: https://arxiv.org/pdf/2502.14493 Introduction Infrared and visible light image fusion (IVIF) is increasingly applied in critical fields such as video surveillance and autonomous driving systems. Deep learning-based fusion methods have made significant progress; however, these models often encounter out-of-distribution (OOD) scenarios in real-world … Read more

Small Object Detection Using SIMD Dataset in YOLO Format

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Small Object Detection Using SIMD Dataset in YOLO Format

Small object detection, SIMD dataset, YOLO format. The SIMD dataset has most images measured at 1024 × 768 pixels. SIMD (Haroon et al., 2020) is a target detection dataset proposed by the National University of Sciences and Technology in Pakistan, primarily for vehicle detection, containing 5000 remote sensing images (image size: 1024×768) and 45096 instances. … Read more

Research on Data Generation Methods Based on Kernel Density Estimation (KDE) in MATLAB

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Research on Data Generation Methods Based on Kernel Density Estimation (KDE) in MATLAB

Click the blue text above to follow us 📋📋📋 The contents of this article are as follows: 🎁🎁🎁 Contents ⛳️ Gift to readers 💥1 Overview 📚2 Running Results 🎉3 References 🌈4 MATLAB Code Implementation Gift to readers 👨💻 Conducting research involves a profound system of thought, requiring researchers to be logical, diligent, and serious. However, … Read more

Upgraded ‘Mind Reading’ in the Cellular World! MultiKano: A Data Augmentation Method Based on Cutting-Edge Mathematics and AI to Decode Single-Cell Multi-Omics Identity Codes

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Upgraded 'Mind Reading' in the Cellular World! MultiKano: A Data Augmentation Method Based on Cutting-Edge Mathematics and AI to Decode Single-Cell Multi-Omics Identity Codes

Sharing an article co-authored by Associate Professor Chen Shengquan from Nankai University and Associate Professor Yang Qingzhu from the Capital University of Physical Education and Sports, published in the journal Protein & Cell. The title is “Development of MultiKano: An Automated Cell Type Annotation Tool Based on Kolmogorov-Arnold Networks and Data Augmentation for Cell Type … Read more

MultiKano: An Automatic Cell Type Annotation Method for Single-Cell Multi-Omics Data

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MultiKano: An Automatic Cell Type Annotation Method for Single-Cell Multi-Omics Data

The rapid development of single-cell multi-omics sequencing technology has made it possible to measure gene expression and chromatin accessibility simultaneously, providing a comprehensive view of gene regulatory mechanisms at single-cell resolution. Cell type annotation is a core step in the analysis of single-cell multi-omics data. Common cell type annotation methods typically involve unsupervised clustering followed … Read more

ZhiYuan Robotics Releases and Open Sources the World’s First Robot Action Sequence Driven World Model

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ZhiYuan Robotics Releases and Open Sources the World's First Robot Action Sequence Driven World Model

Author | Xu Xuanju Recently, ZhiYuan Robotics made a significant announcement in the field of embodied intelligence, achieving a dual milestone: the world’s first robot action sequence driven embodied world model EVAC (EnerVerse-AC), and the embodied world model evaluation benchmark EWMBench. These two innovative results are now fully open-sourced, aiming to establish a new development … Read more