Instance and prototype contrastive learning for multi-view 3D model retrieval and classification

Key Points

• Enhanced classification accuracy of multi-view 3D models indicates the effectiveness of contrastive learning.
• Utilizing instance and prototype strategies, the method improves model retrieval by leveraging relational data.
• Assessment using comprehensive datasets indicates significant performance gains across various dimensionalities and views.
• Highlights the potential for broader applications in computer vision and related domains, enhancing retrieval accuracy.