Synthetic-to-real Domain Shift in Maritime Search and Rescue Video Scenes: Decomposition, Measurement and Adaptation Strategies
Year: 2026
Type: article
Abstract: The paper addresses domain shift as the dominant factor limiting the practical applicability of neural detectors in maritime search and rescue (SAR) scenes. A decomposition of the shift into four components — appearance, geometric, prior and conditional — is proposed, and a domain degradation coefficient is introduced as a unified measure. Based on published data it is shown that the shift is class-dependent: for the “person in water” class the degradation reaches 0.98, whereas for “small watercraft” it is 0.65, which suggests — as a hypothesis still to be tested — that the geometric component dominates for the priority class. Adaptation strategies are systematised accordingly.
Author: Yulii Maievskyi
Institution: Odesа Polytechnic National University
Language: English
Subfield: Artificial Intelligence
Field: Computer Science
Domain: Physical Sciences
Open Access status: gold
OpenAlex ID: W7204465474
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