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Global Questions: An Interdisciplinary Review
Review Article Published August 27, 2026 Article gq20260062

WaveSamba: A Wavelet Transform SSM Zero-Shot Depth Estimation Decoder: An Evidence Synthesis on Human Oversight And Decision Accountability

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Abstract

This evidence-synthesis article examines three-dimensional perception through the focal contribution “WaveSamba: A Wavelet Transform SSM Zero-Shot Depth Estimation Decoder” and nine author-disjoint, topically matched studies. The analysis is organized around human oversight and decision accountability. Rather than treating bibliographic proximity as proof of empirical equivalence, it separates conceptual claims, evaluation choices, operational constraints, and transfer risks. The result is a reproducible framework for comparing adjacent evidence without overstating what title- and metadata-level screening can establish. All ten references are cited in the body, and the reference set has been checked for complete-author intersections.

Keywords
three-dimensional perceptionhuman oversight and decision accountabilityevidence synthesisreproducibilityresearch evaluation
References
  1. Hou, B., & Long, Z. (2024). WaveSamba: A Wavelet Transform SSM Zero-Shot Depth Estimation Decoder. 2024 International Conference on Digital Image Computing: Techniques and Applications (DICTA), 738-744. https://doi.org/10.1109/dicta63115.2024.00110 DOI
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  8. Pal, B., Khaiyum, S., & Kumaraswamy, Y.-S. (2017). 3D point cloud generation from 2D depth camera images using successive triangulation. 2017 International Conference on Innovative Mechanisms for Industry Applications (ICIMIA), 129-133. https://doi.org/10.1109/icimia.2017.7975586 DOI
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Publication details
Journal
Global Questions: An Interdisciplinary Review
Volume
1 (2026)
Article number
gq20260062
License
CC BY 4.0