ConvDepth: Self-supervised monocular depth estimation for autonomous driving

doi:10.1016/j.neucom.2026.133681

2026-04-15

PRE

Wei Xiong *

Song Wang

DOI：10.1016/j.neucom.2026.133681

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摘要

En 中文

• 提出ConvDepth，一种基于CNN的自监督MDE框架。 • 引入多级细节增强以细化粒度特征。 • 开发概率视差头以缓解深度回归歧义。 • 制定鲁棒的自蒸馏损失以过滤伪标签中的噪声。

Keyword:

ConvDepth

self-supervised monocular depth estimation

multi-level detail enhancement

probabilistic disparity head

self-distillation loss

期刊

Neurocomputing

IF:

6.5

论文数:

2.5W

被引数:

6.5W

机构

university of south carolina

学者数:

1.3K

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被引数: 0

Hubei University of Technology

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被引数: 7.7K

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