IMC 2024 Methods & Solutions Review

• URL: http://arxiv.org/abs/2407.03172v1
• Date: Wed, 3 Jul 2024 14:47:18 GMT
• Title: IMC 2024 Methods & Solutions Review
• Authors: Shyam Gupta, Dhanisha Sharma, Songling Huang,
• Abstract summary: Kaggle has been hosting the Image Matching Challenge for the past three years. This competition focuses on solving a 3D image reconstruction problem using a collection of 2D images. We introduce an advanced ensemble technique that we developed, achieving a score of 0.153449 on the private leaderboard.
• Score: 0.0
• License: http://creativecommons.org/licenses/by/4.0/
• Abstract: For the past three years, Kaggle has been hosting the Image Matching Challenge, which focuses on solving a 3D image reconstruction problem using a collection of 2D images. Each year, this competition fosters the development of innovative and effective methodologies by its participants. In this paper, we introduce an advanced ensemble technique that we developed, achieving a score of 0.153449 on the private leaderboard and securing the 160th position out of over 1,000 participants. Additionally, we conduct a comprehensive review of existing methods and techniques employed by top-performing teams in the competition. Our solution, alongside the insights gathered from other leading approaches, contributes to the ongoing advancement in the field of 3D image reconstruction. This research provides valuable knowledge for future participants and researchers aiming to excel in similar image matching and reconstruction challenges.

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