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Deep Learning Techniques for Monocular Depth Estimation

Data Science Conference via YouTube

Overview

Explore the complexities of monocular depth estimation in computer vision through this comprehensive tech tutorial presented at Data Science Conference Europe 2023. Master influential methodologies for addressing mathematical ambiguities in depth estimation, starting with transfer learning applications and advancing to adaptive binning techniques. Learn how Vision Transformers are revolutionizing the field and discover Meta AI's innovative DINOv2 model, which successfully integrates Natural Language Processing breakthroughs into computer vision applications. Gain practical insights into state-of-the-art techniques and models that are shaping the future of monocular depth estimation during this 90-minute deep dive led by Vladimir Kovacevic.

Syllabus

Deep Learning Techniques for Monocular Depth Estimation | Vladimir Kovacevic | DSC Europe 23

Taught by

Data Science Conference

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