SwinDepth-T: revolutionizing monocular depth estimation with hierarchical transformer-based multiscale feature fusion

M. Angelin Ponrani; P. Ezhilarasi; S. Rajeshkannan

doi:10.1117/1.jei.34.4.043039

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SwinDepth-T: revolutionizing monocular depth estimation with hierarchical transformer-based multiscale feature fusion

M. Angelin Ponrani P. Ezhilarasi S. Rajeshkannan

Year: 2025 Journal: Journal of Electronic Imaging Vol: 34 (04) Publisher: SPIE

DOI: 10.1117/1.jei.34.4.043039

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Keywords:

Artificial intelligence Computer science Computer vision Monocular Feature (linguistics) Pattern recognition (psychology) Fusion Feature extraction Image processing Image (mathematics)

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Image Processing Techniques and Applications

Physical Sciences → Engineering → Media Technology

Advanced Vision and Imaging

Physical Sciences → Computer Science → Computer Vision and Pattern Recognition

Optical measurement and interference techniques

Physical Sciences → Computer Science → Computer Vision and Pattern Recognition

SwinDepth-T: revolutionizing monocular depth estimation with hierarchical transformer-based multiscale feature fusion

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