Improving Monocular Depth Estimation Through Knowledge Distillation: Better Visual Quality and Efficiency

Improving Monocular Depth Estimation Through Knowledge Distillation: Better Visual Quality and Efficiency

This paper introduces a novel knowledge distillation (KD) framework for monocular depth estimation (MDE), incorporating dynamic weight adaptation to address critical challenges. The proposed approach effectively mitigates visual limitations, including blurred object boundaries and discontinuous arti...

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Bibliographic Details
Main Authors: Chang Yeop Lee, Dong Ju Kim, Young Joo Suh, Do Kyung Hwang
Format: Article
Language:English
Published: IEEE 2025-01-01
Series:IEEE Access
Subjects:
Deep learning
image segmentation
computational complexity
knowledge transfer
Online Access:https://ieeexplore.ieee.org/document/10818481/
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https://ieeexplore.ieee.org/document/10818481/

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