Enhanced Multi-Scale PoseNet for Self-Supervised Monocular Depth Estimation

Chao Zhang; Tian Tian; Cheng Han; Tiancheng Shao; Mi Zhou; Shichao Zhao

doi:10.1109/lsp.2025.3639361

ScienceGate Book Chapters

JOURNAL ARTICLE

Enhanced Multi-Scale PoseNet for Self-Supervised Monocular Depth Estimation

Chao Zhang Tian Tian Cheng Han Tiancheng Shao Mi Zhou Shichao Zhao

Year: 2025 Journal: IEEE Signal Processing Letters Vol: 33 Pages: 316-320 Publisher: Institute of Electrical and Electronics Engineers

DOI: 10.1109/lsp.2025.3639361

Get Full-Text PDF Get Analytical Report

Keywords:

Pattern recognition (psychology) Monocular Noise (video) Image segmentation Signal processing Signal-to-noise ratio (imaging) Clutter Image processing

Metrics

Cited By

0.00

FWCI (Field Weighted Citation Impact)

Refs

0.68

Citation Normalized Percentile

Is in top 1%

Is in top 10%

Topics

Robot Manipulation and Learning

Physical Sciences → Engineering → Control and Systems Engineering

Advanced Vision and Imaging

Physical Sciences → Computer Science → Computer Vision and Pattern Recognition

Robotic Mechanisms and Dynamics

Physical Sciences → Engineering → Control and Systems Engineering

Enhanced Multi-Scale PoseNet for Self-Supervised Monocular Depth Estimation

Metrics

Topics

Related Documents

Self-supervised Monocular Depth Estimation with Multi-Scale Feature Fusion

Self-supervised Monocular Depth Estimation in Challenging Environments Based on Illumination Compensation PoseNet

Multi-frame self-supervised monocular depth estimation with multi-scale feature enhancement

Enhanced Modeling for Self-Supervised Monocular Depth Estimation

Hierarchical Multi-scale Architecture Search for Self-supervised Monocular Depth Estimation