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Self-supervised monocular depth estimation with hybrid CNN-transformer architecture using skip attention mechanism

Afrasiab Khan Tahir Nawaz M. Asaduzzaman M. S. Hasan Ayesha Zeb Anjum Naeem Malik Anas Bin Aqeel Faisal Shafait
Sep 2026 · Signal, Image and Video Processing · Vol 20 · 0 citations · 32 references

TL;DR

A hybrid self-supervised model incorporating a Skip Attention Mechanism to minimize semantic inconsistencies between encoder and decoder, and a mixed pooling method combining max and average pooling to address over-smoothing and contextual information loss is proposed.

DOI Semantic Scholar
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