Multi-Modal Contrastive Masked Autoencoders: A Two-Stage Progressive Pre-training Approach for RGBD Datasets

Muhammad Abdullah Jamal; Omid Mohareri

doi:10.1109/cvpr52734.2025.01672

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Multi-Modal Contrastive Masked Autoencoders: A Two-Stage Progressive Pre-training Approach for RGBD Datasets

Muhammad Abdullah Jamal Omid Mohareri

Year: 2025 Pages: 17947-17957

DOI: 10.1109/cvpr52734.2025.01672

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Keywords:

Computer science Artificial intelligence Modal Stage (stratigraphy) Training (meteorology) Speech recognition Pattern recognition (psychology) Training set Natural language processing Computer vision Geology

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Industrial Vision Systems and Defect Detection

Physical Sciences → Engineering → Industrial and Manufacturing Engineering

Generative Adversarial Networks and Image Synthesis

Physical Sciences → Computer Science → Computer Vision and Pattern Recognition

Multi-Modal Contrastive Masked Autoencoders: A Two-Stage Progressive Pre-training Approach for RGBD Datasets

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