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Exploring Ink Detection: Strategy and Self-Supervised Learning
This chapter explores the approach taken to address the ink detection challenge from a Kaggle competition, framing it as a regression task to predict ink intensity. The discussion highlights the integration of self-supervised learning and its role in refining model performance throughout the master's thesis journey.