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 ...
Abstract: Accurate relative radiometric normalization (RRN) is important for reliable multitemporal remote sensing image analysis. Traditional methods often depend on coregistered image pairs, ...
[2025.08.27] We have released the pre-trained weights. [2025.10.06] Our paper accepted for publication in Applied Soft Computing. Convolutional networks, transformers, hybrid models, and Mamba-based ...
Data Normalization vs. Standardization is one of the most foundational yet often misunderstood topics in machine learning and data preprocessing. If you’ve ever built a predictive model, worked on a ...
NPR's Ayesha Rascoe talks to Heidi Beirich, co-founder of the Global Project Against Hate and Extremism about the prevalence of racism in modern political discourse. This is the beginning of a ...
Abstract: In the medical diagnostics domain, pathology and histology are pivotal for the precise identification of diseases. Digital histopathology, enhanced by automation, facilitates the efficient ...
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