Dimensions overall score 7.0

• Most existing infrared small target detection methods are confined to domain-consistent settings and overlook generalization to unseen domains.limitation 90%
• Distribution shifts between training and testing data are inevitable in infrared small target detection due to variations in observational conditions and environmental factors.technical 85%
• Inconsistencies in spectral phase are the primary manifestation of domain discrepancies in infrared small target detection.technical 80%
• The proposed S²CPNet method achieves state-of-the-art performance under diverse cross-domain settings on three IRSTD datasets.result 90%
• The phase rectification module (PRM) derives generalizable target awareness for cross-domain infrared small target detection.method 85%
• An orthogonal attention mechanism (OAM) in skip connections preserves positional information while refining informative representations.method 85%
• Selective style recomposition (SSR) mitigates bias toward domain-specific patterns in infrared small target detection.method 85%
• The intrinsic indistinctiveness of infrared small targets aggravates overfitting to domain-specific patterns.technical 80%

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