IEEE

Optimizing Relative Radiometric Normalization: Minimizing Residual Distortions in Multispectral Bitemporal Images Using Trust-Region Reflective and Laplacian Pyramid Fusion

Abstract: Accurate relative radiometric normalization (RRN) is important for reliable multitemporal remote sensing image analysis. Traditional methods often depend on coregistered image pairs, ...
Forbes

Cannabis Isn’t Harmless — And Normalization Is The Real Risk

Forbes contributors publish independent expert analyses and insights. John Samuels is the Founder/CEO of Wellworth healthcare advisory firm. This voice experience is generated by AI. Learn more. This ...
GitHub

SQL-R1: Training Natural Language to SQL Reasoning Model By Reinforcement Learning

Natural Language to SQL (NL2SQL) enables intuitive interactions with databases by transforming natural language queries into structured SQL statements. Despite recent advancements in enhancing ...
GitHub

PromptNorm: Image Geometry Guides Ambient Light Normalization

Ambient lighting normalization is an important computer vision task that aims to remove shadows and standardize illumination across an entire image. While previous approaches have primarily focused on ...
IEEE

DNMCN: Dual-Stage Normalization Based Modality-Collaborative Fusion Network for Multimodal Sentiment Analysis

Abstract: Due to the high-quality semantic information provided by the text modality, text-driven models have become the dominant approach for Multimodal Sentiment Analysis (MSA) in recent years.