A Multi-Scale Perception Feature Fusion Method for Self-Supervised Monocular Depth Estimation

Caixia Meng; Chengbo Yu

doi:10.1109/icnlp65360.2025.11108431

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A Multi-Scale Perception Feature Fusion Method for Self-Supervised Monocular Depth Estimation

Caixia Meng Chengbo Yu

Year: 2025 Pages: 373-377

DOI: 10.1109/icnlp65360.2025.11108431

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Keywords:

Artificial intelligence Computer science Scale (ratio) Monocular Computer vision Feature (linguistics) Fusion Pattern recognition (psychology) Sensor fusion Perception Geography Psychology

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Image Processing Techniques and Applications

Physical Sciences → Engineering → Media Technology

Industrial Vision Systems and Defect Detection

Physical Sciences → Engineering → Industrial and Manufacturing Engineering

Advanced Measurement and Detection Methods

Physical Sciences → Engineering → Electrical and Electronic Engineering

A Multi-Scale Perception Feature Fusion Method for Self-Supervised Monocular Depth Estimation

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