SYNTHETIC-TO-REAL DOMAIN SHIFT IN MARITIME SEARCH AND RESCUE VIDEO SCENES: DECOMPOSITION, MEASUREMENT AND ADAPTATION STRATEGIES

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.

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Publication Details

Published
2026-08-26
DOI
https://doi.org/10.70286/isu-26.08.2026.004
Primary Topic
Face Recognition and Perception
Type
article
Field-Weighted Citation Impact
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article

SYNTHETIC-TO-REAL DOMAIN SHIFT IN MARITIME SEARCH AND RESCUE VIDEO SCENES: DECOMPOSITION, MEASUREMENT AND ADAPTATION STRATEGIES

Yulii Maievskyi
Face Recognition and Perception
article

SYNTHETIC-TO-REAL DOMAIN SHIFT IN MARITIME SEARCH AND RESCUE VIDEO SCENES: DECOMPOSITION, MEASUREMENT AND ADAPTATION STRATEGIES

Yulii Maievskyi
article en

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.

Odessa National Polytechnic University (UA)
Life below water
Openalex Percentile: Top 9%
Face Recognition and Perception
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