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September 20, 2025AlgorithmsOpen Access

Self-Supervised Monocular Depth Estimation Based on Differential Attention

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Authors

MZMing ZhouHYHancheng YuZLZhongchen Li

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Overview

Differential attention enhances depth estimation accuracy in monocular systems, improving fine detail representation.

Key Points

  • Proposed method enhances depth maps by refining local features and improving global representation, leading to better accuracy.
  • The use of differential attention operators results in superior performance on both KITTI and Make3D datasets.
  • Innovative deformable bin-structured prediction head allows for dynamic local depth aggregation and adaptive field modulation.
  • This approach addresses critical limitations in existing depth estimation methods with improved detail capture strategies.

Cite This Study

Zhou et al. (2025) studied this question.

synapsesocial.com/papers/68d469c131b076d99fa6632dhttps://doi.org/10.3390/a18090590
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