الملخص
Alignment-free RGB-T salient object detection (RGB-T SOD) aims to identify salient objects from unregistered RGB and thermal image pairs without costly pre-alignment. However, spatial misalignment breaks pixel-wise correspondence and causes feature contamination during cross-modal fusion. To address this issue, we propose S2A, a semantic-to-spatial alignment framework for alignment-free RGB-T SOD. Specifically, a global-guided hierarchical fusion module (GGHF) first exploits global semantic guidance to suppress background interference and refine hierarchical intra-modal features. Subsequently, the alignment-free cross-modal channel attention module (AFCA) globally exchanges complementary semantic information through channel-wise interaction, effectively overcoming the interference caused by local spatial misalignments. Finally, a spatial deformable cross-attention module (SDCA) predicts adaptive sampling offsets to recover local cross-modal spatial correspondence. Through this semantic-to-spatial paradigm, S2A first enables reliable cross-modal semantic interaction and subsequently performs local spatial calibration, effectively reducing misalignment-induced feature contamination. Without bells and whistles, S2A achieves highly competitive performance on multiple public alignment-free RGB-T benchmarks, demonstrating its effectiveness in alleviating misalignment-induced feature contamination.
الكلمات المفتاحية
الموضوع
بيانات النشر
- المجلة
- غير متاح
- وصول مفتوح
- وصول مفتوح أخضر
اقتبس هذه المقالة
APA 7
Zhou, Q., Luo, Y., Chen, Y., & Xu, J. (2026). S2A:Semantic-to-Spatial Alignment for Alignment-Free RGB-T Salient Object Detection. https://omanscience.com/ar/articles/s2a-semantic-to-spatial-alignment-for-alignment-free-rgb-t-salient-object-detection
MLA 9
Zhou, Qiangqiang, et al. "S2A:Semantic-to-Spatial Alignment for Alignment-Free RGB-T Salient Object Detection." https://omanscience.com/ar/articles/s2a-semantic-to-spatial-alignment-for-alignment-free-rgb-t-salient-object-detection.
شيكاغو (المؤلف–التاريخ)
Zhou, Qiangqiang, Yang Luo, Yong Chen, and Jiawei Xu. 2026. "S2A:Semantic-to-Spatial Alignment for Alignment-Free RGB-T Salient Object Detection." https://omanscience.com/ar/articles/s2a-semantic-to-spatial-alignment-for-alignment-free-rgb-t-salient-object-detection.
هارفارد
Zhou, Q., Luo, Y., Chen, Y. and Xu, J. (2026) 'S2A:Semantic-to-Spatial Alignment for Alignment-Free RGB-T Salient Object Detection', Available at: https://omanscience.com/ar/articles/s2a-semantic-to-spatial-alignment-for-alignment-free-rgb-t-salient-object-detection.
فانكوفر
Zhou Q, Luo Y, Chen Y, Xu J. S2A:Semantic-to-Spatial Alignment for Alignment-Free RGB-T Salient Object Detection. https://omanscience.com/ar/articles/s2a-semantic-to-spatial-alignment-for-alignment-free-rgb-t-salient-object-detection
IEEE
Q. Zhou, Y. Luo, Y. Chen, and J. Xu, "S2A:Semantic-to-Spatial Alignment for Alignment-Free RGB-T Salient Object Detection," https://omanscience.com/ar/articles/s2a-semantic-to-spatial-alignment-for-alignment-free-rgb-t-salient-object-detection.