Lesson 1: Introduction to Remote Sensing Data and Python Setup
Learn about raster and vector data and set up your Python environment
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title: “BYOL Explained: Self-Supervised Learning without Negative Pairs” date: 2025-10-08 summary: “Understanding BYOL: How interactions between Online and Target networks achieve SOTA performance without negative samples. A deep dive into the architecture and loss function.” series: [“Self-Supervised Learning”] tags: [“BYOL”, “Contrastive Learning”, “SSL”, “CV”, “Paper Notes”]
[Read More]title: “SimCLR Explained: Contrastive Learning Design & Code” date: 2025-10-07 summary: “A detailed visual guide to SimCLR. Understand the logic behind stochastic data augmentation, the NT-Xent loss, and why contrastive learning works.” series: [“Self-Supervised Learning”] tags: [“SimCLR”, “Contrastive Learning”, “SSL”, “CV”, “Paper Notes”]
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